17.1.3.6 Human Action Detection, Human Action Recognition

Chapter Contents (Back)
Action Recognition. Human Actions. Human Motion.
See also Action Localization, Action Localisation.
See also Action Segmentation.
See also Accumulation Methods, Motion Histograms for Human Action Recognition. Spatio-Temporal analysis methods:
See also Spatio-Temporal Techniques for Human Action Recognition and Detection. Learning:
See also Neural Networks and Learning for Human Action Recognition and Detection. More focused on Basic Actions, for extended activities see:
See also Human Activity Recognition, Human Behaviors.
See also Viewpoint invariant, View Invariant, Human Action Detection, Human Action Recognition.
See also Human Action Recognition, Sparse Techniques, Low-Rank, SVM.
See also Tracking Animals, Animal Gait, Animal Behaviors.
See also Surveillance, Human Motion, Surveys, Reviews, Overviews, Representations. Certain activities are part of video conferencing systems:
See also Video Conferencing, Videoconference, Teleconference.

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Human Action Recognition by Extracting Features from Negative Space,
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Springer DOI 1109
Human action recognition; Negative space; Silhouette; Dynamic Time Warping; Complex activity; Fuzzy function; Region partitioning BibRef

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Action recognition BibRef

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Onofri, L.[Leonardo], Soda, P.[Paolo], Iannello, G.,
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Combining video subsequences for human action recognition,
ICPR12(597-600).
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Jiang, X.B.[Xin-Bo], Zhong, F.[Fan], Peng, Q.S.[Qun-Sheng], Qin, X.Y.[Xue-Ying],
Online robust action recognition based on a hierarchical model,
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Wang, F.[Feng], Sun, Z.H.[Zhan-Hu], Jiang, Y.G.[Yu-Gang], Ngo, C.W.[Chong-Wah],
Video Event Detection Using Motion Relativity and Feature Selection,
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feature selection BibRef

Jiang, Y.G.[Yu-Gang], Dai, Q.[Qi], Liu, W.[Wei], Xue, X.Y.[Xiang-Yang], Ngo, C.W.[Chong-Wah],
Human Action Recognition in Unconstrained Videos by Explicit Motion Modeling,
IP(24), No. 11, November 2015, pp. 3781-3795.
IEEE DOI 1509
BibRef
Earlier: A1, A2, A4, A3, A5:
Trajectory-Based Modeling of Human Actions with Motion Reference Points,
ECCV12(V: 425-438).
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cameras BibRef

Yang, J.F.[Jiang-Feng], Ma, Z.[Zheng],
Action Recognition Using Weighted Locality-Constrained Linear Coding,
IEICE(E98-D), No. 1, February 2015, pp. 462-466.
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Recognizing human motions through mixture modeling of inertial data,
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Elsevier DOI 1505
Human motion BibRef

Zhang, Z.[Zhong], Liu, S.[Shuang], Mei, X.[Xing],
Contextual Max Pooling for Human Action Recognition,
IEICE(E98-D), No. 4, April 2015, pp. 989-993.
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Faraki, M., Palhang, M., Sanderson, C.,
Log-Euclidean bag of words for human action recognition,
IET-CV(9), No. 3, 2015, pp. 331-339.
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covariance matrices BibRef

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computer vision BibRef

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Elsevier DOI 1604
Action recognition BibRef

Long, Y.[Yang], Zhu, F.[Fan], Shao, L.[Ling],
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Occlusion BibRef

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Expert-Driven Perceptual Features for Modeling Style and Affect in Human Motion,
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Action Classification BibRef

Roy, D.[Debaditya], Mohan, C.K.[C. Krishna], Rama Murty, K.S.,
Action Recognition Based on Discriminative Embedding of Actions Using Siamese Networks,
ICIP18(3473-3477)
IEEE DOI 1809
Artificial neural networks, Covariance matrices, Training, Probability density function, Analytical models, factor analysis BibRef

Wilson, S., Mohan, C.K.,
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IEEE DOI 1704
Coherence BibRef

Yuan, Y.[Yuan], Zheng, X.T.[Xiang-Tao], Lu, X.Q.[Xiao-Qiang],
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Elsevier DOI 1609
Action recognition BibRef

Wang, L.L.[Liang-Liang], Li, R.F.[Rui-Feng], Fang, Y.J.[Ya-Jun],
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Elsevier DOI 1609
Action detection BibRef

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Springer DOI 1609
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Multimodal classification of events in social media,
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PAMI(38), No. 12, December 2016, pp. 2531-2543.
IEEE DOI 1609
Analytical models BibRef

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PAMI(39), No. 5, May 2017, pp. 922-936.
IEEE DOI 1704
BibRef
Earlier:
Elastic functional coding of human actions: From vector-fields to latent variables,
CVPR15(3147-3155)
IEEE DOI 1510
Encoding BibRef

Feng, Q.X.[Qing-Xiang], Zhou, Y.C.[Yi-Cong],
Kernel Regularized Data Uncertainty for Action Recognition,
CirSysVideo(27), No. 3, March 2017, pp. 577-588.
IEEE DOI 1703
Databases. Analyze 4 different classifiers.
See also Kernel Combined Sparse Representation for Disease Recognition. BibRef

Guo, Z.Y.[Zhao-Yang], Wang, X.[Xin'an], Wang, B.[Bo], Xie, Z.[Zheng],
A Novel 3D Gradient LBP Descriptor for Action Recognition,
IEICE(E100-D), No. 6, June 2017, pp. 1388-1392.
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Nasiri, J.A.[Jalal A.], Charkari, N.M.[Nasrollah Moghadam], Mozafari, K.[Kourosh],
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IJCVR(7), No. 5, 2017, pp. 538-557.
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Ulhaq, A.[Anwaar], Yin, X.X.S.[Xiao-Xia Sunny], He, J.[Jing], Zhang, Y.C.[Yan-Chun],
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IEEE DOI 1801
Correlation, Fourier transforms, Frequency-domain analysis, Image recognition, Tensile stress, view-invariance BibRef

Nazir, S.[Saima], Yousaf, M.H.[Muhammad Haroon], Nebel, J.C.[Jean-Christophe], Velastin, S.A.[Sergio A.],
A Bag of Expression framework for improved human action recognition,
PRL(103), 2018, pp. 39-45.
Elsevier DOI 1802
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Earlier: A1, A2, A4, Only:
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Springer DOI 1802
human action in simple and realistic scenarios. Add space-time to BoW. Human action recognition, Bag of Words, Bag of visual words BibRef

Murtaza, F.[Fiza], Yousaf, M.H.[Muhammad Haroon], Velastin, S.A.[Sergio A.],
TAB: Temporally aggregated bag-of-discriminant-words for temporal action proposals,
CVIU(183), 2019, pp. 42-52.
Elsevier DOI 1906
Temporal action detection, Bag of words, temporal action proposals BibRef

Murtaza, F.[Fiza], Yousaf, M.H.[Muhammad Haroon], Velastin, S.A.[Sergio A.], Qian, Y.,
End-to-End Temporal Action Detection Using Bag of Discriminant Snippets,
SPLetters(26), No. 2, February 2019, pp. 272-276.
IEEE DOI 1902
feature extraction, gesture recognition, image classification, image motion analysis, image representation, temporal-action proposals BibRef

Naeem, H.B.[Hajra Binte], Murtaza, F.[Fiza], Yousaf, M.H.[Muhammad Haroon], Velastin, S.A.[Sergio A.],
T-VLAD: Temporal vector of locally aggregated descriptor for multiview human action recognition,
PRL(148), 2021, pp. 22-28.
Elsevier DOI 2107
BibRef
Earlier: A2, A3, A4, Only:
DA-VLAD: Discriminative Action Vector of Locally Aggregated Descriptors for Action Recognition,
ICIP18(3993-3997)
IEEE DOI 1809
Human action recognition, Multi-view, View-invariant, Temporal action sequence, VLAD, Short segment features. Feature extraction, Encoding, Videos, Task analysis, Training, Trajectory, Standards, Human action recognition, improved dense trajectories (iDT) BibRef

Orrite-Urunuela, C.[Carlos], Rodriguez, M.[Mario], Herrero, E.[Elias], Rogez, G.[Gregory], Velastin, S.A.[Sergio A.],
Automatic Segmentation and Recognition of Human Actions in Monocular Sequences,
ICPR14(4218-4223)
IEEE DOI 1412
Cameras BibRef

Fan, Y.X.[Ya-Xiang], Wen, G.J.[Gong-Jian], Li, D.R.[De-Ren], Qiu, S.H.[Shao-Hua], Levine, M.D.[Martin D.],
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JVCIR(51), 2018, pp. 70-75.
Elsevier DOI 1802
Flag the event before the end. Early detection, Event detection, Dynamic image, Deep ConvNet BibRef

Saleh, A.[Adel], Abdel-Nasser, M.[Mohamed], Garcia, M.A.[Miguel Angel], Puig, D.[Domenec],
Aggregating the temporal coherent descriptors in videos using multiple learning kernel for action recognition,
PRL(105), 2018, pp. 4-12.
Elsevier DOI 1804
Action recognition, Representation learning, Coherence analysis, Learning-to-rank, Multiple kernel learning BibRef

Saleh, A.[Adel], Abdel-Nasser, M.[Mohamed], Akram, F.[Farhan], Garcia, M.A.[Miguel Angel], Puig, D.[Domenec],
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ICIAR16(325-332).
Springer DOI 1608
Apply to:
See also HMDB: a large human motion database. and
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Al-Molegi, A.[Abdulrahman], Jabreel, M.[Mohammed], Martínez-Ballesté, A.[Antoni],
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PRL(112), 2018, pp. 34-40.
Elsevier DOI 1809
Location prediction, Attention technique, Recurrent neural network, Embedding representations learning BibRef

Zeng, S.C.[Shi-Chen], Lu, G.L.[Guo-Liang], Yan, P.[Peng],
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SIViP(12), No. 8, November 2018, pp. 1551-1558.
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Tu, N.A., Huynh-The, T., Khan, K.U., Lee, Y.,
ML-HDP: A Hierarchical Bayesian Nonparametric Model for Recognizing Human Actions in Video,
CirSysVideo(29), No. 3, March 2019, pp. 800-814.
IEEE DOI 1903
Hidden Markov models, Visualization, Computational modeling, Task analysis, Feature extraction, Trajectory, Data models, Dirichlet process BibRef

Yang, Z.F.[Zhi-Fang], Lin, Y.C.[Yi-Cyuan],
Reduction in number of constraints in max-margin early event detectors,
PR(91), 2019, pp. 111-122.
Elsevier DOI 1904
Early detection, Max-margin, MMED BibRef

Nguyen, X.S.[Xuan Son], Mouaddib, A.I.[Abdel-Illah], Nguyen, T.P.[Thanh Phuong],
Hierarchical Gaussian descriptor based on local pooling for action recognition,
MVA(30), No. 2, March 2019, pp. 321-343.
Springer DOI 1904
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Nguyen, T.P.[Thanh Phuong], Manzanera, A.[Antoine],
Action recognition using bag of features extracted from a beam of trajectories,
ICIP13(4354-4357)
IEEE DOI 1402
action recognition BibRef

Rahimi, S.[Sahere], Aghagolzadeh, A.[Ali], Ezoji, M.[Mehdi],
Human action recognition based on the Grassmann multi-graph embedding,
SIViP(13), No. 2, March 2019, pp. 271-279.
WWW Link. 1904
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Roy, D.[Debaditya], Murty, K.S.R.[Kodukula Sri Rama], Mohan, C.K.[Chalavadi Krishna],
Unsupervised Universal Attribute Modeling for Action Recognition,
MultMed(21), No. 7, July 2019, pp. 1672-1680.
IEEE DOI 1906
Feature extraction, Videos, Probability density function, Adaptation models, Manuals, Histograms, Random processes, Gaussian mixture model BibRef

Yu, T., Wang, L., Da, C., Gu, H., Xiang, S., Pan, C.,
Weakly Semantic Guided Action Recognition,
MultMed(21), No. 10, October 2019, pp. 2504-2517.
IEEE DOI 1910
convolutional neural nets, feature extraction, image classification, image motion analysis, attention model BibRef

Tian, Y.[Yan], Cao, Y.F.[Yi-Fan], Wu, J.C.[Jia-Chen], Hu, W.[Wei], Song, C.[Chao], Yang, T.[Tao],
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DOI Link 1911
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Adeli, V.[Vida], Fazl-Ersi, E.[Ehsan], Harati, A.[Ahad],
A component-based video content representation for action recognition,
IVC(90), 2019, pp. 103805.
Elsevier DOI 1912
Actionness likelihood, Action recognition, Action components, LSTM, Three-stream convolutional neural network BibRef

Yi, Y.[Yang], Li, A.[Ao], Zhou, X.F.[Xiao-Feng],
Human action recognition based on action relevance weighted encoding,
SP:IC(80), 2020, pp. 115640.
Elsevier DOI 1912
Action recognition, Action relevance, Saliency map, Weighted encoding BibRef

Saremi, M.[Mehrin], Yaghmaee, F.[Farzin],
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MultInfoRetr(8), No. 4, December 2019, pp. 253-257.
Springer DOI 1912
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Ji, Y., Zhan, Y., Yang, Y., Xu, X., Shen, F., Shen, H.T.,
A Context Knowledge Map Guided Coarse-to-Fine Action Recognition,
IP(29), 2020, pp. 2742-2752.
IEEE DOI 2001
Human action recognition, multi-modal fusion, coarse-to-fine classification, knowledge map BibRef

Wang, J.Z.[Jin-Zhuo], Wang, W.M.[Wen-Min], Gao, W.[Wen],
Fast and Accurate Action Detection in Videos With Motion-Centric Attention Model,
CirSysVideo(30), No. 1, January 2020, pp. 117-130.
IEEE DOI 2002
Where to look in detail. feature extraction, image classification, image motion analysis, learning (artificial intelligence), neural nets, recurrent neural network BibRef

Chen, X.T.[Xiong-Tao], Wang, W.M.[Wen-Min], Li, W.M.[Wei-Mian], Wang, J.Z.[Jin-Zhuo],
Attention-Based Two-Phase Model for Video Action Detection,
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Peng, B.[Bo], Lei, J.J.[Jian-Jun], Fu, H.Z.[Hua-Zhu], Zhang, C.Q.[Chang-Qing], Chua, T.S.[Tat-Seng], Li, X.L.[Xue-Long],
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CirSysVideo(30), No. 1, January 2020, pp. 131-144.
IEEE DOI 2002
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Khowaja, S.A.[Sunder Ali], Lee, S.L.[Seok-Lyong],
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Springer DOI 2002
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Khan, M.A.[Muhammad Attique], Akram, T.[Tallha], Sharif, M.[Muhammad], Muhammad, N.[Nazeer], Javed, M.Y.[Muhammad Younus], Naqvi, S.R.[Syed Rameez],
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Fine-grained action representation, temporal variance embedding network (TVENet), action search BibRef

Weng, J.W.[Jun-Wu], Jiang, X.D.[Xu-Dong], Zheng, W.L.[Wei-Long], Yuan, J.S.[Jun-Song],
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IEEE DOI 2012
Task analysis, Feature extraction, Convolution, Machine learning, policy-based reinforcement learning BibRef

Afza, F.[Farhat], Khan, M.A.[Muhammad Attique], Sharif, M.[Muhammad], Kadry, S.[Seifedine], Manogaran, G.[Gunasekaran], Saba, T.[Tanzila], Ashraf, I.[Imran], Damaševicius, R.[Robertas],
A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection,
IVC(106), 2021, pp. 104090.
Elsevier DOI 2102
Pre-processing, Frames fusion, Features extraction, Features fusion, Features selection, Classification BibRef

Wang, J.P.[Jin-Peng], Hu, J.G.[Jian-Guo], Li, S.R.[Shi-Ren], Yuan, Z.H.[Zhi-Hao],
Revisiting Hard Example for Action Recognition,
CirSysVideo(31), No. 2, February 2021, pp. 546-556.
IEEE DOI 2102
Motion and spatial cues together. Correlation, Training, Shape, Kernel, Image recognition, temporal sampling BibRef

Kumar, D.[Deepak], Kumar, C.[Chetan], Shao, M.[Ming],
Collaborative knowledge distillation for incomplete multi-view action prediction,
IVC(107), 2021, pp. 104111.
Elsevier DOI 2103
Multi-view, Action prediction, Knowledge distillation, Graph attention BibRef

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2D progressive fusion module for action recognition,
IVC(109), 2021, pp. 104122.
Elsevier DOI 2105
Convergence, spatiotemporal modeling, 2D CNN, action recognition BibRef

Weinzaepfel, P.[Philippe], Rogez, G.[Grégory],
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IJCV(129), No. 5, May 2021, pp. 1675-1690.
Springer DOI 2105

See also LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images. BibRef

Wu, L.F.[Li-Fang], Yang, Z.[Zhou], Jian, M.[Meng], Shen, J.L.[Jia-Lie], Yang, Y.C.[Yu-Chen], Lang, X.L.[Xiang-Long],
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Elsevier DOI 2106
Global motion estimation, Iterative optimization, Independent univariate global motion model, Action recognition BibRef

Padilha, R.[Rafael], Andaló, F.A.[Fernanda A.], Lavi, B.[Bahram], Pereira, L.A.M.[Luís A.M.], Rocha, A.[Anderson],
Temporally sorting images from real-world events,
PRL(147), 2021, pp. 212-219.
Elsevier DOI 2106
Temporal ordering, Visual analysis, Event understanding, Event reconstruction BibRef

Cao, C.Q.[Cong-Qi], Li, J.K.[Jia-Kang], Xi, R.P.[Run-Ping], Zhang, Y.N.[Yan-Ning],
Club Ideas and Exertions: Aggregating Local Predictions for Action Recognition,
CirSysVideo(31), No. 6, June 2021, pp. 2247-2259.
IEEE DOI 2106
Feature extraction, Streaming media, Aggregates, Training, Visualization, Task analysis, Optical imaging, Attention, action recognition BibRef

Yoshikawa, Y.[Yuya], Shigeto, Y.[Yutaro], Takeuchi, A.[Akikazu],
MetaVD: A Meta Video Dataset for enhancing human action recognition datasets,
CVIU(212), 2021, pp. 103276.
Elsevier DOI 2110
Human action recognition, Video datasets BibRef

Yoshikawa, Y.[Yuya], Shigeto, Y.[Yutaro], Shimbo, M.[Masashi], Takeuchi, A.[Akikazu],
Action class relation detection and classification across multiple video datasets,
PRL(173), 2023, pp. 93-100.
Elsevier DOI 2310
Relation prediction, MetaVD, Human action recognition, Multi-modal classification BibRef

Yenduri, S.[Sravani], Perveen, N.[Nazil], Chalavadi, V.[Vishnu], Mohan, C.K.[C. Krishna],
Fine-grained action recognition using dynamic kernels,
PR(122), 2022, pp. 108282.
Elsevier DOI 2112
Fine-grained action recognition, Spatio-temporal features, Gaussian mixture model, Dynamic kernels BibRef

Chen, W.J.[Wan-Jun], Liu, L.[Long], Lin, G.F.[Guang-Feng], Chen, Y.J.[Ya-Jun], Wang, J.[Jing],
Class structure-aware adversarial loss for cross-domain human action recognition,
IET-IPR(15), No. 14, 2021, pp. 3425-3432.
DOI Link 2112
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Moniruzzaman, M.[Md], Yin, Z.Z.[Zhao-Zheng], He, Z.H.[Zhi-Hai], Qin, R.[Ruwen], Leu, M.C.[Ming C.],
Human Action Recognition by Discriminative Feature Pooling and Video Segment Attention Model,
MultMed(24), 2022, pp. 689-701.
IEEE DOI 2202
Feature extraction, Annotations, Training, Image recognition, Task analysis, Action recognition, attentional pooling, weakly-supervised BibRef

Kurban, O.C.[Onur Can], Calik, N.[Nurullah], Yildirim, T.[Tülay],
Human and action recognition using adaptive energy images,
PR(127), 2022, pp. 108621.
Elsevier DOI 2205
Motion recognition, Human recognition, Correlation coefficients, Deep learning, Behavioral biometrics BibRef

Liu, Y.Z.[Yuan-Zhong], Yuan, J.S.[Jun-Song], Tu, Z.G.[Zhi-Gang],
Motion-Driven Visual Tempo Learning for Video-Based Action Recognition,
IP(31), 2022, pp. 4104-4116.
IEEE DOI 2206

WWW Link. Code, Action Recognition. Feature extraction, Visualization, Correlation, Dynamics, Semantics, Spatiotemporal phenomena, Action recognition, visual tempo, temporal correlation module BibRef

Li, Z.[Zhe], Zhang, H.B.[Hong-Bo], Zhang, M.H.[Miao-Hui], Lei, Q.[Qing], Du, J.X.[Ji-Xiang],
Late feature supplement network for early action prediction,
IVC(125), 2022, pp. 104519.
Elsevier DOI 2208
Early action prediction, Early clip, Late clip, Feature supplement, Observation ratio BibRef

E-Elahi, G.M.M.[G. M. Mashrur], Yang, Y.H.[Yee-Hong],
Online temporal classification of human action using action inference graph,
PR(132), 2022, pp. 108972.
Elsevier DOI 2209
Online temporal classification, Action recognition, Action detection, Action inference graph BibRef

Yao, Z.Y.[Zhi-Yu], Wang, Y.B.[Yun-Bo], Wang, J.M.[Jian-Min], Yu, P.S.[Philip S.], Long, M.S.[Ming-Sheng],
VideoDG: Generalizing Temporal Relations in Videos to Novel Domains,
PAMI(44), No. 11, November 2022, pp. 7989-8004.
IEEE DOI 2210
Videos, Training, Adaptation models, Transfer learning, Spatiotemporal phenomena, Benchmark testing, Robustness, video action recognition BibRef

Zhou, Z.[Zhili], Ding, C.[Chun], Li, J.[Jin], Mohammadi, E.[Eman], Liu, G.C.[Guang-Can], Yang, Y.M.[Yi-Min], Wu, Q.M.J.[Q. M. Jonathan],
Sequential Order-Aware Coding-Based Robust Subspace Clustering for Human Action Recognition in Untrimmed Videos,
IP(32), 2023, pp. 13-28.
IEEE DOI 2301
Videos, Codes, Feature extraction, Motion segmentation, Clustering algorithms, Task analysis, Image coding, untrimmed video BibRef

Shang, J.H.[Jia-Hui], Wei, P.[Ping], Li, H.[Huan], Zheng, N.N.[Nan-Ning],
Multi-scale interaction transformer for temporal action proposal generation,
IVC(129), 2023, pp. 104589.
Elsevier DOI 2301
Temporal action proposal generation, Transformer, Multi-scale interaction, Feature pyramids BibRef

Lin, J.[Jie], Mu, Z.K.[Ze-Kun], Zhao, T.Q.[Tian-Qing], Zhang, H.L.[Han-Lin], Yang, X.Y.[Xin-Yu], Zhao, P.[Peng],
Action density based frame sampling for human action recognition in videos,
JVCIR(90), 2023, pp. 103740.
Elsevier DOI 2301
Action recognition, Frame sampling, Action density, Neural network BibRef

Zhang, Y.H.[Yin-Huan], Xiao, Q.[Qinkun], Liu, X.[Xing], Wei, Y.Q.[Yong-Quan], Chu, C.Q.[Chao-Qin], Xue, J.Y.[Jing-Yun],
Multi-modal fusion method for human action recognition based on IALC,
IET-IPR(17), No. 2, 2023, pp. 388-400.
DOI Link 2302
BibRef

Lee, S.[Sumin], Eun, H.[Hyunjun], Moon, J.[Jinyoung], Choi, S.[Seokeon], Kim, Y.[Yoonhyung], Jung, C.[Chanho], Kim, C.[Changick],
Learning to Discriminate Information for Online Action Detection: Analysis and Application,
PAMI(45), No. 5, May 2023, pp. 5918-5934.
IEEE DOI 2304
Streaming media, Task analysis, Proposals, Recurrent neural networks, Predictive models, Logic gates, long short-term memory (LSTM) BibRef

Lee, S.[Sumin], Woo, S.[Sangmin], Park, Y.[Yeonju], Nugroho, M.A.[Muhammad Adi], Kim, C.[Changick],
Modality Mixer for Multi-modal Action Recognition,
WACV23(3297-3306)
IEEE DOI 2302
Mixers, Algorithms: Video recognition and understanding (tracking, Vision + language and/or other modalities BibRef

Liu, Z.[Zhen], Cheng, Q.[Qin], Song, C.Q.[Cheng-Qun], Cheng, J.[Jun],
Cross-scale cascade transformer for multimodal human action recognition,
PRL(168), 2023, pp. 17-23.
Elsevier DOI 2304
Action recognition, Multimodal fusion, Transformer, Two-stream, RGB-D sequences BibRef

Yoo, H.S.[Hong-Sang], Li, H.P.[Hao-Peng], Ke, Q.H.[Qiu-Hong], Liu, L.C.[Liang-Chen], Zhang, R.[Rui],
Precondition and effect reasoning for action recognition,
CVIU(232), 2023, pp. 103691.
Elsevier DOI 2305
BibRef

Lin, W.[Wei], Ding, X.H.[Xing-Hao], Huang, Y.[Yue], Zeng, H.Q.[Huan-Qiang],
Self-Supervised Video-Based Action Recognition With Disturbances,
IP(32), 2023, pp. 2493-2507.
IEEE DOI 2305
Videos, Semantics, Task analysis, Visualization, Character recognition, Optical imaging, Image recognition, disturbances BibRef

Lin, W.[Wei], Liu, X.Y.[Xiao-Yu], Zhuang, Y.H.[Yi-Hong], Ding, X.[Xinghao], Tu, X.T.[Xiao-Tong], Huang, Y.[Yue], Zeng, H.Q.[Huan-Qiang],
Unsupervised Video-Based Action Recognition With Imagining Motion and Perceiving Appearance,
CirSysVideo(33), No. 5, May 2023, pp. 2245-2258.
IEEE DOI 2305
Videos, Feature extraction, Image recognition, Task analysis, Character recognition, Data mining, Action recognition, imagine BibRef

Bousmina, A.[Abir], Selmi, M.[Mouna], Ben Rhaiem, M.A.[Mohamed Amine], Farah, I.R.[Imed Riadh],
A Hybrid Approach Based on GAN and CNN-LSTM for Aerial Activity Recognition,
RS(15), No. 14, 2023, pp. 3626.
DOI Link 2307
From overhead views, UAV. BibRef

Chen, Y.T.[Ya-Tong], Ge, H.W.[Hong-Wei], Liu, Y.X.[Yu-Xuan], Cai, X.Y.[Xin-Ye], Sun, L.[Liang],
AGPN: Action Granularity Pyramid Network for Video Action Recognition,
CirSysVideo(33), No. 8, August 2023, pp. 3912-3923.
IEEE DOI 2308
Feature extraction, Fuses, Data mining, Computational modeling, Convolution, Visualization, Aggregates, Video action recognition, multi-granularity BibRef

Park, Y.[Yeonju], Woo, S.[Sangmin], Lee, S.[Sumin], Nugroho, M.A.[Muhammad Adi], Kim, C.[Changick],
Cross-modal alignment and translation for missing modality action recognition,
CVIU(236), 2023, pp. 103805.
Elsevier DOI 2310
Video action recognition, Multi-modal learning, Missing modality, Contrastive learning, Feature translation BibRef

Gan, M.G.[Ming-Gang], Zhang, Y.[Yan],
Temporal Attention-Pyramid Pooling for Temporal Action Detection,
MultMed(25), 2023, pp. 3799-3810.
IEEE DOI 2310
BibRef

Mitsuzumi, Y.[Yu], Irie, G.[Go], Kimura, A.[Akisato], Nakazawa, A.[Atsushi],
Phase Randomization: A data augmentation for domain adaptation in human action recognition,
PR(146), 2024, pp. 110051.
Elsevier DOI 2311
Domain adaptation, Human action recognition, Time-series data BibRef

Ma, Y.J.[Yu-Jun], Wang, R.[Ruili],
Relative-position embedding based spatially and temporally decoupled Transformer for action recognition,
PR(145), 2024, pp. 109905.
Elsevier DOI 2311
Transformer, Relative-position embedding, Spatial-temporal features, Subsampling BibRef

Zhang, Y.[Yu], Chen, Z.J.[Zheng-Jie], Xu, T.Y.[Tian-Yu], Zhao, J.J.[Jun-Jie], Mi, S.[Siya], Geng, X.[Xin], Zhang, M.L.[Min-Ling],
Temporal segment dropout for human action video recognition,
PR(146), 2024, pp. 109985.
Elsevier DOI 2311
Action recognition, Temporal regularization, Temporal segment dropout BibRef

Chen, J.H.[Jing-Hong], Jin, Z.H.[Zhi-Hao], Wang, Q.C.[Qi-Cong], Meng, H.Y.[Hong-Ying],
Self-Supervised 3D Behavior Representation Learning Based on Homotopic Hyperbolic Embedding,
IP(32), 2023, pp. 6061-6074.
IEEE DOI 2311
BibRef

Zhang, Y.[Yu], Zhao, J.J.[Jun-Jie], Chen, Z.J.[Zheng-Jie], Mi, S.[Siya], Zhu, H.Y.[Hong-Yuan], Geng, X.[Xin],
A Closer Look at Video Sampling for Sequential Action Recognition,
CirSysVideo(33), No. 12, December 2023, pp. 7503-7514.
IEEE DOI 2312
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Wang, J.[Junyan], Jiang, Y.Q.[Yi-Qi], Long, Y.[Yang], Sun, X.[Xiuyu], Pagnucco, M.[Maurice], Song, Y.[Yang],
Deconfounding Causal Inference for Zero-Shot Action Recognition,
MultMed(26), 2024, pp. 3976-3986.
IEEE DOI 2402
Semantics, Training, Task analysis, Feature extraction, Visualization, Training data, Zero-shot learning, causal inference BibRef

Ye, K.[Kun], Wu, S.[Sheng], Cai, Y.B.[Yong-Bin], Zhou, L.[Lang], Xiao, L.J.[Li-Jun], Zhang, X.B.[Xue-Bo], Zheng, Z.[Zheng], Lin, J.Q.[Jia-Qing],
Transfer-Learning-Based Human Activity Recognition Using Antenna Array,
RS(16), No. 5, 2024, pp. 845.
DOI Link 2403
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Li, H.X.[Hao-Xin], Liu, Y.[Yuan], Zhang, H.W.[Han-Wang], Li, B.Y.[Bo-Yang],
Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground,
ICCV23(19854-19866)
IEEE DOI Code:
WWW Link. 2401
BibRef

Chen, Y.F.[Yi-Fei], Chen, D.P.[Da-Peng], Liu, R.J.[Rui-Jin], Li, H.[Hao], Peng, W.[Wei],
Video Action Recognition with Attentive Semantic Units,
ICCV23(10136-10146)
IEEE DOI 2401
BibRef

Plizzari, C.[Chiara], Perrett, T.[Toby], Caputo, B.[Barbara], Damen, D.[Dima],
What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations,
ICCV23(13610-13620)
IEEE DOI Code:
WWW Link. 2401
BibRef

Barquero, G.[German], Escalera, S.[Sergio], Palmero, C.[Cristina],
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction,
ICCV23(2317-2327)
IEEE DOI 2401
BibRef

Geara, C.[Carla], Setkov, A.[Aleksandr], Orcesi, A.[Astrid], Luvison, B.[Bertrand],
Feature Space Data Augmentation for Viewpoint-Robust Action Recognition in Videos,
ICIP23(585-589)
IEEE DOI 2312
BibRef

Cen, J.[Jun], Zhang, S.W.[Shi-Wei], Wang, X.[Xiang], Pei, Y.X.[Yi-Xuan], Qing, Z.W.[Zhi-Wu], Zhang, Y.Y.[Ying-Ya], Chen, Q.F.[Qi-Feng],
Enlarging Instance-specific and Class-specific Information for Open-set Action Recognition,
CVPR23(15295-15304)
IEEE DOI 2309
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Gulshad, S.[Sadaf], Long, T.[Teng], van Noord, N.[Nanne],
Hierarchical Explanations for Video Action Recognition,
XAI4CV23(3703-3708)
IEEE DOI 2309
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Zhao, C.[Chen], Du, D.W.[Da-Wei], Hoogs, A.[Anthony], Funk, C.[Christopher],
Open Set Action Recognition via Multi-Label Evidential Learning,
CVPR23(22982-22991)
IEEE DOI 2309
BibRef

Tsai, W.L.[Wei Lun], Lin, J.J.[Jacob J.], Hsieh, S.H.[Shang-Hsien],
Generating Construction Safety Observations via Clip-based Image-language Embedding,
CVCivil22(366-381).
Springer DOI 2304
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Peng, H.W.[Huai-Wei], Tseng, Y.C.[Yu-Chee],
Multi-Scale Motion-Aware Module for Video Action Recognition,
ACVR22(589-606).
Springer DOI 2304
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Byrne, J.[Jeffrey], Castańón, G.[Greg], Li, Z.H.[Zhong-Heng], Ettinger, G.[Gil],
Fine-grained Activities of People Worldwide,
WACV23(3307-3318)
IEEE DOI 2302
Visualization, Ethics, Benchmark testing, Activity recognition, Data collection, Mobile applications, ethical computer vision BibRef

Du, D.W.[Da-Wei], Shringi, A.[Ameya], Hoogs, A.J.[Anthony J.], Funk, C.[Christopher],
Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition,
WACV23(3360-3369)
IEEE DOI 2302
Semantics, Classification algorithms, Algorithms: Video recognition and understanding. BibRef

Zhong, Z.Y.[Ze-Yun], Schneider, D.[David], Voit, M.[Michael], Stiefelhagen, R.[Rainer], Beyerer, J.[Jürgen],
Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation,
WACV23(6057-6066)
IEEE DOI 2302
Computational modeling, Feature extraction, Transformers, Ensemble learning, Task analysis, Vision + language and/or other modalities BibRef

Huang, R.F.[Rui-Feng], Chen, C.[Chong], Cheng, R.[Rui], Zhang, Y.[Ying], Zhu, J.B.[Jia-Bing],
Human Action Recognition Based on Three-Stream Network with Frame Sequence Features,
ICIVC22(37-44)
IEEE DOI 2301
Training, Image recognition, Computational modeling, Neural networks, Multilayer perceptrons, Feature extraction, HMDB51 BibRef

Foo, L.G.[Lin Geng], Li, T.J.[Tian-Jiao], Rahmani, H.[Hossein], Ke, Q.H.[Qiu-Hong], Liu, J.[Jun],
ERA: Expert Retrieval and Assembly for Early Action Prediction,
ECCV22(XXXIV:670-688).
Springer DOI 2211
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Liu, Q.Y.[Qin-Ying], Wang, Z.[Zilei],
Collaborating Domain-Shared and Target-Specific Feature Clustering for Cross-domain 3D Action Recognition,
ECCV22(IV:137-155).
Springer DOI 2211
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Tai, T.M.[Tsung-Ming], Fiameni, G.[Giuseppe], Lee, C.K.[Cheng-Kuang], Lanz, O.[Oswald],
Higher-Order Recurrent Network with Space-Time Attention for Video Early Action Recognition,
ICIP22(1631-1635)
IEEE DOI 2211
Visualization, Image recognition, Predictive models, Cognition, History, Video prediction, early action recognition, space-time attention BibRef

Li, J.F.[Jie-Feng], Bian, S.Y.[Si-Yuan], Xu, C.[Chao], Liu, G.[Gang], Yu, G.[Gang], Lu, C.W.[Ce-Wu],
D&D: Learning Human Dynamics from Dynamic Camera,
ECCV22(V:479-496).
Springer DOI 2211
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Yang, J.W.[Jie-Wen], Dong, X.B.[Xing-Bo], Liu, L.J.[Liu-Jun], Zhang, C.[Chao], Shen, J.J.[Jia-Jun], Yu, D.H.[Da-Hai],
Recurring the Transformer for Video Action Recognition,
CVPR22(14043-14053)
IEEE DOI 2210
Representation learning, Visualization, Memory management, Video sequences, Graphics processing units, Logic gates, Machine learning BibRef

Liang, Z.X.[Zi-Xi], Chen, J.J.[Jia-Jun], Chen, R.[Rui], Zheng, B.B.[Bing-Bing], Zhou, M.Y.[Ming-Yue], Gao, H.[Huaien], Lin, S.[Shan],
Domain Adaptable Normalization for Semi-Supervised Action Recognition in the Dark,
UG22(4250-4257)
IEEE DOI 2210
Adaptation models, Costs, Surveillance, Semisupervised learning, Pattern recognition BibRef

Chen, Z.[Zhi], Fan, Z.J.[Zi-Jun], Li, Y.J.[Yong-Jie], Gao, H.[Huaien], Lin, S.[Shan],
Z-Domain Entropy Adaptable Flex for Semi-supervised Action Recognition in the Dark,
UG22(4258-4265)
IEEE DOI 2210
Flexible printed circuits, Surveillance, Neural networks, Estimation, Feature extraction BibRef

Guo, X.[Xi], Wu, W.[Wei], Wang, D.L.[Dong-Liang], Su, J.[Jing], Su, H.S.[Hai-Sheng], Gan, W.H.[Wei-Hao], Huang, J.[Jian], Yang, Q.[Qin],
Learning Video Representations of Human Motion from Synthetic Data,
CVPR22(20165-20175)
IEEE DOI 2210
Representation learning, Pipelines, Games, Animation, Data mining, Action and event recognition, Video analysis and understanding BibRef

Medjaouri, O.[Omar], Desai, K.[Kevin],
HR-STAN: High-Resolution Spatio-Temporal Attention Network for 3D Human Motion Prediction,
Precognition22(2539-2548)
IEEE DOI 2210
Costs, Dynamics, Predictive models BibRef

Maeda, T.[Takahiro], Ukita, N.[Norimichi],
MotionAug: Augmentation with Physical Correction for Human Motion Prediction,
CVPR22(6417-6426)
IEEE DOI 2210
Training, Convolutional codes, Recurrent neural networks, Tracking, Force, Graphics processing units, Kinematics, Motion and tracking BibRef

Ma, T.Z.[Tie-Zheng], Nie, Y.W.[Yong-Wei], Long, C.J.[Cheng-Jiang], Zhang, Q.[Qing], Li, G.Q.[Gui-Qing],
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction,
CVPR22(6427-6436)
IEEE DOI 2210
Convolutional codes, Smoothing methods, Tracking, Face recognition, Performance gain, Feature extraction, Spatiotemporal phenomena, Face and gestures BibRef

Mazzeo, P.L.[Pier Luigi], Spagnolo, P.[Paolo], Fasano, M.[Matteo], Distante, C.[Cosimo],
Human Action Recognition with Transformers,
CIAP22(III:230-241).
Springer DOI 2205
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Jenni, S.[Simon], Jin, H.L.[Hai-Lin],
Time-Equivariant Contrastive Video Representation Learning,
ICCV21(9950-9960)
IEEE DOI 2203
Representation learning, Dynamics, Benchmark testing, Distortion, Task analysis, Manipulator dynamics, Representation learning, Video analysis and understanding BibRef

Zhang, X.[Xing], Wu, Z.[Zuxuan], Weng, Z.[Zejia], Fu, H.Z.[Hua-Zhu], Chen, J.J.[Jing-Jing], Jiang, Y.G.[Yu-Gang], Davis, L.S.[Larry S.],
VideoLT: Large-scale Long-tailed Video Recognition,
ICCV21(7940-7949)
IEEE DOI 2203

WWW Link. Training, Knowledge engineering, Adaptation models, Image recognition, Codes, Computational modeling, Recognition and classification BibRef

Kim, D.H.[Dong-Hyun], Tsai, Y.H.[Yi-Hsuan], Zhuang, B.B.[Bing-Bing], Yu, X.[Xiang], Sclaroff, S.[Stan], Saenko, K.[Kate], Chandraker, M.[Manmohan],
Learning Cross-Modal Contrastive Features for Video Domain Adaptation,
ICCV21(13598-13607)
IEEE DOI 2203
Design methodology, Benchmark testing, Task analysis, Optical flow, Videos, Action and behavior recognition, Representation learning, Video analysis and understanding BibRef

Chung, J.[Jihoon], Wuu, C.H.[Cheng-Hsin], Yang, H.R.[Hsuan-Ru], Tai, Y.W.[Yu-Wing], Tang, C.K.[Chi-Keung],
HAA500: Human-Centric Atomic Action Dataset with Curated Videos,
ICCV21(13445-13454)
IEEE DOI 2203
Training, Deep learning, Annotations, Scalability, Predictive models, Spatiotemporal phenomena, Action and behavior recognition, Datasets and evaluation BibRef

Li, J.M.[Jia-Man], Villegas, R.[Ruben], Ceylan, D.[Duygu], Yang, J.M.[Ji-Mei], Kuang, Z.F.[Zheng-Fei], Li, H.[Hao], Zhao, Y.J.[Ya-Jie],
Task-Generic Hierarchical Human Motion Prior using VAEs,
3DV21(771-781)
IEEE DOI 2201
Training, Interpolation, Motion estimation, Pose estimation, Predictive models, Animation BibRef

Neimark, D.[Daniel], Bar, O.[Omri], Zohar, M.[Maya], Asselmann, D.[Dotan],
Video Transformer Network,
CVEU21(3156-3165)
IEEE DOI 2112

WWW Link. Code, Video Recognition. Solid modeling, Runtime, Computational modeling, Video sequences, Machine learning, Benchmark testing BibRef

Hsiao, J.H.[Jen-Hao], Li, Y.K.[Yi-Kang], Ho, C.[Chiuman],
Language-guided Multi-Modal Fusion for Video Action Recognition,
CLVL21(3151-3155)
IEEE DOI 2112
Training, Visualization, Fuses, Benchmark testing, Noise measurement BibRef

Fernando, B.[Basura], Herath, S.[Samitha],
Anticipating human actions by correlating past with the future with Jaccard similarity measures,
CVPR21(13219-13228)
IEEE DOI 2111
Deep learning, Correlation, Loss measurement, Pattern recognition, Task analysis BibRef

Wang, Z.W.[Zheng-Wei], She, Q.[Qi], Smolic, A.[Aljosa],
ACTION-Net: Multipath Excitation for Action Recognition,
CVPR21(13209-13218)
IEEE DOI 2111
Adaptation models, Codes, Target recognition, Convolution, Computational modeling BibRef

Zhou, J.M.[Jia-Ming], Lin, K.Y.[Kun-Yu], Li, H.X.[Hao-Xin], Zheng, W.S.[Wei-Shi],
Graph-based High-order Relation Modeling for Long-term Action Recognition,
CVPR21(8980-8989)
IEEE DOI 2111
Visualization, Computational modeling, Semantics, Pattern recognition, Task analysis BibRef

Punnakkal, A.R.[Abhinanda R.], Chandrasekaran, A.[Arjun], Athanasiou, N.[Nikos], Quirós-Ramírez, A.[Alejandra], Black, M.J.[Michael J.],
BABEL: Bodies, Action and Behavior with English Labels,
CVPR21(722-731)
IEEE DOI 2111

WWW Link. Code, Human Action. Location awareness, Solid modeling, Motion segmentation, Semantics, Benchmark testing BibRef

Li, T.J.[Tian-Jiao], Liu, J.[Jun], Zhang, W.[Wei], Ni, Y.[Yun], Wang, W.Q.[Wen-Qian], Li, Z.H.[Zhi-Heng],
UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles,
CVPR21(16261-16270)
IEEE DOI 2111
Pose estimation, Video sequences, Lighting, Benchmark testing, Distortion, Unmanned aerial vehicles BibRef

Chen, R.[Rui], Chen, J.J.[Jia-Jun], Liang, Z.X.[Zi-Xi], Gao, H.[Huaien], Lin, S.[Shan],
DarkLight Networks for Action Recognition in the Dark,
UG21(846-852)
IEEE DOI 2109
Fuses, Surveillance, Neural networks, Lighting, Feature extraction BibRef

Hira, S.[Sanchit], Das, R.[Ritwik], Modi, A.[Abhinav], Pakhomov, D.[Daniil],
Delta Sampling R-BERT for limited data and low-light action recognition,
UG21(853-862)
IEEE DOI 2109
Training, Deep learning, Technological innovation, Schedules, Pattern recognition BibRef

Garcia, N.C.[Nuno Cruz], Bargal, S.A.[Sarah Adel], Ablavsky, V.[Vitaly], Morerio, P.[Pietro], Murino, V.[Vittorio], Sclaroff, S.[Stan],
Distillation Multiple Choice Learning for Multimodal Action Recognition,
WACV21(2754-2763)
IEEE DOI 2106
Training, Knowledge engineering, Benchmark testing BibRef

Wang, Y.[Yang], Bertasius, G.[Gedas], Oh, T.H.[Tae-Hyun], Gupta, A.[Abhinav], Hoai, M.[Minh], Torresani, L.[Lorenzo],
Supervoxel Attention Graphs for Long-Range Video Modeling,
WACV21(155-166)
IEEE DOI 2106
Convolution, Computational modeling, Semantics, Cognition, Spatiotemporal phenomena BibRef

Wu, W.[Wei], Yu, J.[Jiale],
An Improved Bilinear Pooling Method for Image-Based Action Recognition,
ICPR21(8578-8583)
IEEE DOI 2105
Visualization, Image recognition, Semantics, Manuals, Interference, Feature extraction, action recognition, mask aggregation BibRef

Li, B.[Bing], Kong, L.T.[Long-Teng], Zhang, D.M.[Dong-Ming], Bao, X.G.[Xiu-Guo], Huang, D.[Di], Wang, Y.H.[Yun-Hong],
Towards Practical Compressed Video Action Recognition: A Temporal Enhanced Multi-Stream Network,
ICPR21(3744-3750)
IEEE DOI 2105
Databases, Dynamics, Jitter, Forecasting BibRef

Pan, G.[Ge], Zhang, H.[Han], Yu, F.[Fan], Song, Y.H.[Yong-Hong], Zhang, Y.L.[Yuan-Lin], Yuan, H.[Han],
You Ought to Look Around: Precise, Large Span Action Detection,
ICPR21(1574-1581)
IEEE DOI 2105
Location awareness, Fuses, Convolution, Semantics, Feature extraction, Proposals BibRef

He, J.[Jiayu], Li, G.H.[Guo-Hui], Lei, J.[Jun],
Feature Pyramid Hierarchies for Multi-scale Temporal Action Detection,
ICPR21(2158-2165)
IEEE DOI 2105
Image motion analysis, Semantics, Pipelines, Feature extraction, Safety, Pattern recognition BibRef

Peng, H.[Han], Razi, A.[Abolfazl],
Fully Autonomous UAV-Based Action Recognition System Using Aerial Imagery,
ISVC20(I:276-290).
Springer DOI 2103
BibRef

Price, W.[Will], Damen, D.[Dima],
Play Fair: Frame Attributions in Video Models,
ACCV20(V:480-497).
Springer DOI 2103
Explain action models. BibRef

Algamdi, A.M., Sanchez, V., Li, C.T.,
Dronecaps: Recognition of Human Actions in Drone Videos Using Capsule Networks With Binary Volume Comparisons,
ICIP20(3174-3178)
IEEE DOI 2011
Videos, Feature extraction, Drones, Routing, Human Action Recognition BibRef

Arnab, A.[Anurag], Sun, C.[Chen], Nagrani, A.[Arsha], Schmid, C.[Cordelia],
Uncertainty-aware Weakly Supervised Action Detection from Untrimmed Videos,
ECCV20(X:751-768).
Springer DOI 2011
BibRef

Cooray, T.[Thilini], Cheung, N.M.[Ngai-Man], Lu, W.[Wei],
Attention-Based Context Aware Reasoning for Situation Recognition,
CVPR20(4735-4744)
IEEE DOI 2008
Semantics, Visualization, Task analysis, Cognition, Predictive models, Image coding, Knowledge discovery BibRef

Battash, B., Barad, H., Tang, H., Bleiweiss, A.,
Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain,
EDLCV20(2926-2934)
IEEE DOI 2008
Task analysis, Data models, Optical computing, Adaptive optics, Optical imaging, Acceleration BibRef

Li, Y., Ji, B., Shi, X., Zhang, J., Kang, B., Wang, L.,
TEA: Temporal Excitation and Aggregation for Action Recognition,
CVPR20(906-915)
IEEE DOI 2008
Videos, Spatiotemporal phenomena, Optical imaging, Feature extraction, Stacking BibRef

Ulutan, O., Rallapalli, S., Srivatsa, M., Torres, C., Manjunath, B.S.,
Actor Conditioned Attention Maps for Video Action Detection,
WACV20(516-525)
IEEE DOI 2006
Feature extraction, Context modeling, Task analysis, Shape, Detectors, Pipelines BibRef

Aksan, E.[Emre], Kaufmann, M.[Manuel], Cao, P.[Peng], Hilliges, O.[Otmar],
A Spatio-temporal Transformer for 3D Human Motion Prediction,
3DV21(565-574)
IEEE DOI 2201
Solid modeling, Codes, Frequency-domain analysis, Dynamics, Predictive models, Transformers, 3D human motion modelling, Self attention BibRef

Aksan, E., Kaufmann, M., Hilliges, O.,
Structured Prediction Helps 3D Human Motion Modelling,
ICCV19(7143-7152)
IEEE DOI 2004
Code, Human Motion.
WWW Link. feature extraction, graph theory, image motion analysis, learning (artificial intelligence), Kinematics BibRef

Zhang, J., Felsen, P., Kanazawa, A., Malik, J.,
Predicting 3D Human Dynamics From Video,
ICCV19(7113-7122)
IEEE DOI 2004
Code, Human Motion.
WWW Link. autoregressive processes, image motion analysis, image sequences, solid modelling, video signal processing, Shape BibRef

Roig, C., Sarmiento, M., Varas, D., Masuda, I., Riveiro, J.C., Bou-Balust, E.,
Multi-Modal Pyramid Feature Combination for Human Action Recognition,
MMVAMTC19(3742-3746)
IEEE DOI 2004
feature extraction, gesture recognition, image fusion, image motion analysis, object detection, Feature combination BibRef

Ramanathan, V.[Vignesh], Wang, R.[Rui], Mahajan, D.[Dhruv],
PreDet: Large-scale weakly supervised pre-training for detection,
ICCV21(2845-2855)
IEEE DOI 2203
Training, Location awareness, Analytical models, Computational modeling, Object detection, Noise measurement, BibRef

Ghadiyaram, D.[Deepti], Tran, D.[Du], Mahajan, D.[Dhruv],
Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition,
CVPR19(12038-12047).
IEEE DOI 2002
BibRef

Liu, Z.G.[Zhen-Guang], Wu, S.[Shuang], Jin, S.Y.[Shu-Yuan], Liu, Q.[Qi], Lu, S.J.[Shi-Jian], Zimmermann, R.[Roger], Cheng, L.[Li],
Towards Natural and Accurate Future Motion Prediction of Humans and Animals,
CVPR19(9996-10004).
IEEE DOI 2002
BibRef

Munro, J.[Jonathan], Damen, D.[Dima],
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition,
CVPR20(119-129)
IEEE DOI 2008
BibRef
Earlier: MMVAMTC19(3723-3726)
IEEE DOI 2004
Training, Task analysis, Target recognition, Feature extraction, Adaptation models, Pattern recognition, Robustness. image fusion, image motion analysis, image recognition, multimodal domain adaptation, Multimodal BibRef

Wray, M., Csurka, G., Larlus, D., Damen, D.[Dima],
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings,
ICCV19(450-459)
IEEE DOI 2004
learning (artificial intelligence), natural language processing, speech recognition, text analysis, Visualization BibRef

Moltisanti, D.[Davide], Fidler, S.[Sanja], Damen, D.[Dima],
Action Recognition From Single Timestamp Supervision in Untrimmed Videos,
CVPR19(9907-9916).
IEEE DOI 2002
BibRef

Shou, Z.[Zheng], Lin, X.D.[Xu-Dong], Kalantidis, Y.[Yannis], Sevilla-Lara, L.[Laura], Rohrbach, M.[Marcus], Chang, S.F.[Shih-Fu], Yan, Z.C.[Zhi-Cheng],
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition,
CVPR19(1268-1277).
IEEE DOI 2002
BibRef

Zhao, R.[Rui], Xu, W.[Wanru], Su, H.[Hui], Ji, Q.A.[Qi-Ang],
Bayesian Hierarchical Dynamic Model for Human Action Recognition,
CVPR19(7725-7734).
IEEE DOI 2002
BibRef

Wang, W., Wu, Y., Liu, H., Wang, S., Cheng, J.,
Temporal Action Detection by Joint Identification-Verification,
ICPR18(2026-2031)
IEEE DOI 1812
feature extraction, image classification, image recognition, object detection, video signal processing, action category, Predictive models BibRef

Chauhan, J.S., Wang, Y.,
Context-Aware Action Detection in Untrimmed Videos Using Bidirectional LSTM,
CRV18(222-229)
IEEE DOI 1812
Videos, Logic gates, Task analysis, Standards, Mathematical model, Microprocessors, action detection, LSTM, video analysis BibRef

Ali, A., Taylor, G.W.,
Real-Time End-to-End Action Detection with Two-Stream Networks,
CRV18(31-38)
IEEE DOI 1812
Optical imaging, Task analysis, Real-time systems, Proposals, Optical computing, Integrated optics, Training, Action detection, Video understanding BibRef

Shou, Z.[Zheng], Pan, J.T.[Jun-Ting], Chan, J.[Jonathan], Miyazawa, K.[Kazuyuki], Mansour, H.[Hassan], Vetro, A.[Anthony], Giro-i-Nieto, X.[Xavier], Chang, S.F.[Shih-Fu],
Online Detection of Action Start in Untrimmed, Streaming Videos,
ECCV18(III: 551-568).
Springer DOI 1810
BibRef

Wang, D.[Dongang], Ouyang, W.L.[Wan-Li], Li, W.[Wen], Xu, D.[Dong],
Dividing and Aggregating Network for Multi-view Action Recognition,
ECCV18(IX: 457-473).
Springer DOI 1810
BibRef

Cortés, X.[Xavier], Conte, D.[Donatello], Cardot, H.[Hubert],
A new bag of visual words encoding method for human action recognition,
ICPR18(2480-2485)
IEEE DOI 1812
BibRef
And:
Bags of Graphs for Human Action Recognition,
SSSPR18(429-438).
Springer DOI 1810
Visualization, Encoding, Videos, Vector quantization, Training, Histograms, Classification algorithms BibRef

Zhong, Y., Zheng, W.,
Unsupervised Learning for Forecasting Action Representations,
ICIP18(1073-1077)
IEEE DOI 1809
Videos, Forecasting, Predictive models, Feature extraction, Training, TV, Context modeling, Unsupervised learning, temporal context, action forecasting BibRef

Liu, D., Wang, Y., Kato, J.,
Evaluation of Triple-Stream Convolutional Networks for Action Recognition,
DICTA17(1-6)
IEEE DOI 1804
image motion analysis, image recognition, image representation, video signal processing, Triple-Stream Convolutional Networks, Videos BibRef

Chen, H., Chen, J., Chen, C., Hu, R.,
Action recognition with gradient boundary convolutional network,
ICIP17(1047-1051)
IEEE DOI 1803
Image recognition, Integrated optics, Machine learning, Noise measurement, Optical imaging, gradient boundary BibRef

Yan, S., Smith, J.S., Lu, W., Zhang, B.,
CHAM: Action recognition using convolutional hierarchical attention model,
ICIP17(3958-3962)
IEEE DOI 1803
Convolution, Feature extraction, Kernel, Mathematical model, Testing, Training, Videos, Action recognition, CNN, Convolutional LSTM, Soft attention BibRef

Yang, H., Yuan, C., Xing, J., Hu, W.,
SCNN: Sequential convolutional neural network for human action recognition in videos,
ICIP17(355-359)
IEEE DOI 1803
Computational modeling, Convolutional neural networks, Feature extraction, SCNN BibRef

Clapés, A.[Albert], Tuytelaars, T.[Tinne], Escalera, S.[Sergio],
Darwintrees for Action Recognition,
EmotionComp17(3169-3178)
IEEE DOI 1802
Binary trees, Computational modeling, Feature extraction, Kernel, Optical imaging, Trajectory, Videos BibRef

Li, R.[Ruiyu], Tapaswi, M.[Makarand], Liao, R.J.[Ren-Jie], Jia, J.Y.[Jia-Ya], Urtasun, R.[Raquel], Fidler, S.[Sanja],
Situation Recognition with Graph Neural Networks,
ICCV17(4183-4192)
IEEE DOI 1802
Predict most salient action, fill in roles. graph theory, image motion analysis, neural nets, Graph Neural Networks, action source, action target, Visualization BibRef

Almeida, R.[Raquel], Bustos, B.[Benjamin], do Patrocínio, Jr., Z.K.G.[Zenilton Kleber G.], Guimarăes, S.J.F.[Silvio Jamil F.],
Human Action Classification Using an Extended BoW Formalism,
CIAP17(I:185-196).
Springer DOI 1711
BibRef

Yu, G.[Gang], Li, T.[Ting],
Recognition of Human Continuous Action with 3D CNN,
CVS17(314-322).
Springer DOI 1711
BibRef

Qin, J.[Jie], Liu, L.[Li], Shao, L.[Ling], Ni, B.B.[Bing-Bing], Chen, C.[Chen], Shen, F.M.[Fu-Min], Wang, Y.H.[Yun-Hong],
Binary Coding for Partial Action Analysis with Limited Observation Ratios,
CVPR17(6728-6737)
IEEE DOI 1711
Binary codes, Computational efficiency, Encoding, Semantics, Support vector machines BibRef

Han, Y., Zhang, P., Zhuo, T., Huang, W., Zhang, Y.,
Video Action Recognition Based on Deeper Convolution Networks with Pair-Wise Frame Motion Concatenation,
ActionCh17(1226-1235)
IEEE DOI 1709
Adaptation models, Convolution, Image recognition, Optical imaging, Pattern recognition, Robustness, Training BibRef

Naha, S., Wang, Y.,
Beyond verbs: Understanding actions in videos with text,
ICPR16(1833-1838)
IEEE DOI 1705
Feature extraction, Semantics, Standards, Training, Videos, YouTube BibRef

Mohammadi, E., Wu, Q.M.J.[Q. M. Jonathan], Yang, Y., Saif, M.,
Effect of wavelet and hybrid classification on action recognition,
ICIP17(1787-1791)
IEEE DOI 1803
BibRef
Earlier: A1, A2, A4, Only:
Human Action Recognition by Fusing the Outputs of Individual Classifiers,
CRV16(335-341)
IEEE DOI 1612
Encoding, Feature extraction, Hybrid power systems, Image sequences, Kernel, Support vector machines, Transforms, Motion-based features. Action Recognition BibRef

Wang, Y., Hoai, M.[Minh],
Improving Human Action Recognition by Non-action Classification,
CVPR16(2698-2707)
IEEE DOI 1612
BibRef

Ni, B.B.[Bing-Bing], Yang, X.K.[Xiao-Kang], Gao, S.H.[Sheng-Hua],
Progressively Parsing Interactional Objects for Fine Grained Action Detection,
CVPR16(1020-1028)
IEEE DOI 1612
BibRef

Singh, A.[Aditya], Saini, S.[Saurabh], Shah, R.[Rajvi], Narayanan, P.J.,
From Traditional to Modern: Domain Adaptation for Action Classification in Short Social Video Clips,
GCPR16(245-257).
Springer DOI 1611
BibRef

Lin, B., Fang, B., Yang, W.B.,
L_1-Norm based reconstruction error evaluation for human action recognition,
ICWAPR16(90-95)
IEEE DOI 1611
Detectors BibRef

García-Hernando, G.B.[Gloria Bueno], Kim, T.K.,
Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection,
CVPR17(407-415)
IEEE DOI 1711
Decision trees, Hidden Markov models, Pattern recognition, Standards, Training, Vegetation BibRef

Lin, W.[Wei], Karlinsky, L.[Leonid], Shvetsova, N.[Nina], Possegger, H.[Horst], Kozinski, M.[Mateusz], Panda, R.[Rameswar], Feris, R.S.[Rogerio S.], Kuehne, H.[Hilde], Bischof, H.[Horst],
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge,
ICCV23(2839-2850)
IEEE DOI Code:
WWW Link. 2401
BibRef

Lin, W.[Wei], Mirza, M.J.[Muhammad Jehanzeb], Kozinski, M.[Mateusz], Possegger, H.[Horst], Kuehne, H.[Hilde], Bischof, H.[Horst],
Video Test-Time Adaptation for Action Recognition,
CVPR23(22952-22961)
IEEE DOI 2309
BibRef

Vidal-Mata, R.G.[Rosaura G.], Scheirer, W.J.[Walter J.], Kukleva, A.[Anna], Cox, D.[David], Kuehne, H.[Hilde],
Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences,
WACV21(1237-1246)
IEEE DOI 2106
Visualization, Video sequences, Benchmark testing, Task analysis BibRef

Kukleva, A.[Anna], Kuehne, H.[Hilde], Sener, F.[Fadime], Gall, J.[Jurgen],
Unsupervised Learning of Action Classes With Continuous Temporal Embedding,
CVPR19(12058-12066).
IEEE DOI 2002
BibRef

Abidi, S., Piccardi, M.[Massimo], Williams, M.A.,
Static action recognition by efficient greedy inference,
WACV16(1-8)
IEEE DOI 1606
Detectors BibRef

Zhang, B., Wang, H.,
Encoding scale into fisher vector for human action recognition,
VCIP15(1-4)
IEEE DOI 1605
Computational modeling BibRef

Tran, A.[An], Cheong, L.F.[Loong-Fah],
Two-Stream Flow-Guided Convolutional Attention Networks for Action Recognition,
EmotionComp17(3110-3119)
IEEE DOI 1802
Cameras, Convolution, Feature extraction, Optical imaging, Training, Videos BibRef

Luo, Y.[Ye], Cheong, L.F.[Loong-Fah], Tran, A.[An],
Actionness-Assisted Recognition of Actions,
ICCV15(3244-3252)
IEEE DOI 1602
Sudden changes, temporal synchrony, and repetitiveness. BibRef

Liao, W., Rosenhahn, B., Yang, M.Y.,
Video Event Recognition by Combining HDP and Gaussian Process,
MSF15(166-174)
IEEE DOI 1602
Analytical models BibRef

Hao, Z.[Zongbo], Lu, L.L.[Lin-Lin], Zhang, Q.N.[Qian-Ni], Wu, J.[Jie], Izquierdo, E.[Ebroul], Yang, J.Y.[Juan-Yu], Zhao, J.[Jun],
Action Recognition based on Subdivision-Fusion Model,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Ronchi, M.R.[Matteo Ruggero], Perona, P.[Pietro],
Describing Common Human Visual Actions in Images,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Gao, Z., Zhang, Y., Zhang, H., Xu, G.P., Xue, Y.B.,
Reverse Testing Image Set Model Based Multi-view Human Action Recognition,
MMMod16(I: 397-408).
Springer DOI 1601
BibRef

Xu, K.H.[Kuan-Hong], Lu, Y.[Ya], Zhang, H.W.[Hong-Wei], Feng, X.T.[Xue-Tao], Kim, W.J.[Won-Jun], Han, J.J.[Jae-Joon],
Combining nonuniform sampling, hybrid super vector, and random forest with discriminative decision trees for action recognition,
ICIP15(3977-3981)
IEEE DOI 1512
Action recognition; nonuniform sampling; random forest; super vector BibRef

Cai, D.Q.[Dong-Qi], Su, F.[Fei],
Deep CCA based super vector for action recognition,
ICIP15(1945-1949)
IEEE DOI 1512
Action recognition BibRef

Wang, D.[Dan], Shao, Q.[Qing], Li, X.Q.[Xiao-Qiang],
A new unsupervised model of action recognition,
ICIP15(1160-1164)
IEEE DOI 1512
Action recognition; K-Means; unsupervised feature; updated BoF model BibRef

Foggia, P.[Pasquale], Gauzere, B.[Benoit], Saggese, A.[Alessia], Vento, M.[Mario],
Human action recognition using an improved string edit distance,
AVSS15(1-6)
IEEE DOI 1511
Accuracy BibRef

Páez, F.[Fabián], González, F.A.[Fabio A.],
Annotating and Retrieving Videos of Human Actions Using Matrix Factorization,
CIARP15(743-750).
Springer DOI 1511
BibRef

Lan, Z.Z.[Zhen-Zhong], Lin, M.[Ming], Li, X.C.[Xuan-Chong], Hauptmann, A.G.[Alexander G.], Raj, B.[Bhiksha],
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition,
CVPR15(204-212)
IEEE DOI 1510
BibRef

Xing, D.[Dong], Wang, X.Z.[Xian-Zhong], Lu, H.T.[Hong-Tao],
Action Recognition Using Hybrid Feature Descriptor and VLAD Video Encoding,
Gait14(I: 99-112).
Springer DOI 1504
BibRef

Shu, Z.X.[Zhi-Xin], Yun, K.[Kiwon], Samaras, D.[Dimitris],
Action Detection with Improved Dense Trajectories and Sliding Window,
ChaLearn14(541-551).
Springer DOI 1504
BibRef

Garcia, C.[Cecilia], Bazin, J.C.[Jean-Charles], Lancelle, M.[Marcel], Gross, M.[Markus],
Automatic jumping photos on smartphones,
ICIP14(2522-2526)
IEEE DOI 1502
Cameras. Recognize when the person will reach the top of the jump and then take the picture. BibRef

Wang, L.[Ling], Sahbi, H.[Hichem],
Bags-of-daglets for action recognition,
ICIP14(1550-1554)
IEEE DOI 1502
Accuracy BibRef

Liu, Y.[Yi], Qin, L.[Lei], Cheng, Z.W.[Zhong-Wei], Zhang, Y.H.[Yan-Hao], Zhang, W.G.[Wei-Gang], Huang, Q.M.[Qing-Ming],
DA-CCD: A novel action representation by Deep Architecture of local depth feature,
ICIP14(833-837)
IEEE DOI 1502
Charge coupled devices BibRef

Ouyed, O.[Ouiza], Allili, M.S.[Mohand Said],
Feature Relevance for Kernel Logistic Regression and Application to Action Classification,
ICPR14(1325-1329)
IEEE DOI 1412
Accuracy BibRef

Bagheri, M.A.[Mohammad Ali], Hu, G.[Gang], Gao, Q.G.[Qi-Gang], Escalera, S.[Sergio],
A Framework of Multi-classifier Fusion for Human Action Recognition,
ICPR14(1260-1265)
IEEE DOI 1412
Accuracy BibRef

Hernández-García, R.[Ruber], García-Reyes, E.B.[Edel B.], Ramos-Cózar, J.[Julián], Guil, N.[Nicolás],
Human Action Classification Using N-Grams Visual Vocabulary,
CIARP14(319-326).
Springer DOI 1411
BibRef

Karaman, S.[Svebor], Seidenari, L.[Lorenzo], Ma, S.[Shugao], del Bimbo, A.[Alberto], Sclaroff, S.[Stan],
Adaptive Structured Pooling for Action Recognition,
BMVC14(xx-yy).
HTML Version. 1410
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Baumann, F.[Florian], Schulz, I.[Irina], Baumann, F.[Florian], Ehlers, A., Rosenhahn, B.[Bodo], Liao, J.[Jie],
Computation strategies for volume local binary patterns applied to action recognition,
AVSS14(68-73)
IEEE DOI 1411
Accuracy BibRef

Chen, W.[Wei], Corso, J.J.[Jason J.],
Action Detection by Implicit Intentional Motion Clustering,
ICCV15(3298-3306)
IEEE DOI 1602
Benchmark testing BibRef

Chen, W.[Wei], Xiong, C.M.[Cai-Ming], Xu, R.[Ran], Corso, J.J.[Jason J.],
Actionness Ranking with Lattice Conditional Ordinal Random Fields,
CVPR14(748-755)
IEEE DOI 1409
What is action, how is action different from motion? BibRef

Sun, C.[Chuan], Tappen, M.[Marshall], Foroosh, H.[Hassan],
Feature-Independent Action Spotting without Human Localization, Segmentation, or Frame-wise Tracking,
CVPR14(2689-2696)
IEEE DOI 1409
BibRef

Imtiaz, H., Mahbub, U., Schaefer, G., Ahad, M.A.R.,
A Multi-resolution Action Recognition Algorithm Using Wavelet Domain Features,
ACPR13(537-541)
IEEE DOI 1408
discrete wavelet transforms BibRef

Wang, L.[Lei], Zhao, Y.[Yanna], Zhao, X.[Xu], Liu, Y.C.[Yun-Cai],
Action Recognition Based on Binary Latent Variable Models,
ACPR13(206-209)
IEEE DOI 1408
image sensors BibRef

Lo, S.L.[Sio-Long], Tsoi, A.C.[Ah-Chung],
Motion Boundary Trajectory for Human Action Recognition,
Gait14(I: 85-98).
Springer DOI 1504
BibRef
Earlier:
Human Action Recognition: A Dense Trajectory and Similarity Constrained Latent Support Vector Machine Approach,
ACPR13(230-235)
IEEE DOI 1408
image classification BibRef

Peng, C.[Cheng], Huang, H.Z.[Hao-Zhi], Tsoi, A.C.[Ah-Chung], Lo, S.L.[Sio-Long], Liu, Y.[Yun], Yang, Z.Y.[Zi-Yi],
Motion boundary emphasised optical flow method for human action recognition,
IET-CV(14), No. 6, September 2020, pp. 378-390.
DOI Link 2010
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de Geest, R.[Roeland], Tuytelaars, T.[Tinne],
Modeling Temporal Structure with LSTM for Online Action Detection,
WACV18(1549-1557)
IEEE DOI 1806
image motion analysis, image recognition, object detection, probability, recurrent neural nets, statistical analysis, Toy manufacturing industry BibRef

de Geest, R.[Roeland], Gavves, E.[Efstratios], Ghodrati, A.[Amir], Li, Z.Y.[Zhen-Yang], Snoek, C.G.M.[Cees G.M.], Tuytelaars, T.[Tinne],
Online Action Detection,
ECCV16(V: 269-284).
Springer DOI 1611
BibRef

Ghodrati, A.[Amir], Pedersoli, M.[Marco], Tuytelaars, T.[Tinne],
Is 2D Information Enough For Viewpoint Estimation?,
BMVC14(xx-yy).
HTML Version. 1410

See also Elastic Deformation Field Model for Object Detection and Tracking, An. BibRef

Fu, X.P.[Xi-Ping], McCane, B., Albert, M., Mills, S.,
Action recognition based on principal geodesic analysis,
IVCNZ13(259-264)
IEEE DOI 1402
differential geometry BibRef

Zhang, H.B.[Hong-Bo], Su, S.Z.[Song-Zhi], Li, S.Z.[Shao-Zi], Chen, D.S.[Duan-Sheng], Zhong, B.N.[Bi-Neng], Ji, R.R.[Rong-Rong],
Seeing actions through scene context,
VCIP13(1-6)
IEEE DOI 1402
Bayes methods BibRef

Tom, M., Babu, R.V.,
Fast moving-object detection in H.264/AVC compressed domain for video surveillance,
NCVPRIPG13(1-4)
IEEE DOI 1408
BibRef
And:
Rapid human action recognition in H.264/AVC compressed domain for video surveillance,
VCIP13(1-6)
IEEE DOI 1402
data compression. decoding BibRef

Wei, P.[Ping], Zheng, N.N.[Nan-Ning], Zhao, Y.B.[Yi-Biao], Zhu, S.C.[Song-Chun],
Concurrent Action Detection with Structural Prediction,
ICCV13(3136-3143)
IEEE DOI 1403
multiple actions at one time. BibRef

Thoker, F.M.[Fida Mohammad], Snoek, C.G.M.[Cees G. M.],
Feature-Supervised Action Modality Transfer,
ICPR21(3751-3758)
IEEE DOI 2105
Integrated optics, Training, Knowledge engineering, Adaptation models, Feature extraction, Action Detection BibRef

Thoker, F.M., Gall, J.,
Cross-Modal Knowledge Distillation for Action Recognition,
ICIP19(6-10)
IEEE DOI 1910
Knowledge Distillation, Action Recognition, Transfer Learning, Cross-Modal Action Recognition BibRef

Jhuang, H.H.[Huei-Han], Gall, J.[Juergen], Zuffi, S.[Silvia], Schmid, C.[Cordelia], Black, M.J.[Michael J.],
Towards Understanding Action Recognition,
ICCV13(3192-3199)
IEEE DOI 1403
JHMDB BibRef

Pei, L.S.[Li-Shen], Ye, M.[Mao], Xu, P.[Pei], Zhao, X.Z.[Xue-Zhuan], Li, T.[Tao],
Multi-class action recognition based on inverted index of action states,
ICIP13(3562-3566)
IEEE DOI 1402
Action Recognition Inverted Index BibRef

Tavenard, R.[Romain], Emonet, R.[Remi], Odobez, J.M.[Jean-Marc],
Time-sensitive topic models for action recognition in videos,
ICIP13(2988-2992)
IEEE DOI 1402
BibRef

Cai, J.X.[Jia-Xin], Feng, G.C.[Guo-Can], Tang, X.[Xin],
Human action recognition using oriented holistic feature,
ICIP13(2420-2424)
IEEE DOI 1402
Action recognition; Naive Bayes classifier; Pixel change history BibRef

Šimberová, S.[Stanislava], Suk, T.[Tomáš],
Analysis of Dynamic Processes by Statistical Moments of High Orders,
CIARP13(I:33-40).
Springer DOI 1311
moments in time and space. BibRef

Nguyen, T.P.[Thanh Phuong], Manzanera, A.[Antoine],
Incorporating Two First Order Moments into LBP-Based Operator for Texture Categorization,
RoLoD14(527-540).
Springer DOI 1504
BibRef

Nguyen, T.P.[Thanh Phuong], Manzanera, A.[Antoine], Vu, N.S.[Ngoc-Son], Garrigues, M.[Matthieu],
Revisiting LBP-Based Texture Models for Human Action Recognition,
CIARP13(II:286-293).
Springer DOI 1311
BibRef

Yang, Y.Z.[Ye-Zhou], Fermuller, C.[Cornelia], Aloimonos, Y.F.[Yi-Fannis],
Detection of Manipulation Action Consequences (MAC),
CVPR13(2563-2570)
IEEE DOI 1309
BibRef

Jain, M.[Mihir], Jegou, H.[Herve], Bouthemy, P.[Patrick],
Better Exploiting Motion for Better Action Recognition,
CVPR13(2555-2562)
IEEE DOI 1309
VLAD BibRef

Datas, A., Chiron, P., Fourquet, J.,
A singular value approach for humanoid motion analysis and simulation,
ICARCV12(1551-1557).
IEEE DOI 1304
BibRef

Nagendar, G., Bandiatmakuri, S.G.[Sai Ganesh], Tandarpally, M.G.[Mahesh Goud], Jawahar, C.V.,
Action Recognition Using Canonical Correlation Kernels,
ACCV12(III:479-492).
Springer DOI 1304
BibRef

Cao, X.Q.[Xiao-Qin], Liu, Z.Q.[Zhi-Qiang],
Type-2 fuzzy labeled latent Dirichlet allocation for human action categorization,
ICPR12(1338-1341).
WWW Link. 1302
BibRef

Chen, L.C.[Li-Chih], Hsieh, J.W.[Jun-Wei], Chuang, C.H.[Chi-Hung], Huang, C.Y.[Chang-Yu], Chen, D.Y.,
Occluded human action analysis using dynamic manifold model,
ICPR12(1245-1248).
WWW Link. 1302
BibRef

Sadek, S.[Samy], Al-Hamadi, A.[Ayoub], Michaelis, B.[Bernd], Sayed, U.[Usama],
Human action recognition via affine moment invariants,
ICPR12(218-221).
WWW Link. 1302
BibRef

Atmosukarto, I.[Indriyati], Ahuja, N.[Narendra], Ghanem, B.[Bernard],
Action Recognition Using Discriminative Structured Trajectory Groups,
WACV15(899-906)
IEEE DOI 1503
Accuracy BibRef
Earlier: A1, A3, A2:
Trajectory-based Fisher kernel representation for action recognition in videos,
ICPR12(3333-3336).
WWW Link. 1302
BibRef

Lin, S.Y.[Shih-Yao], Shie, C.K.[Chuen-Kai], Chen, S.C.[Shen-Chi], Lee, M.S.[Ming-Sui], Hung, Y.P.[Yi-Ping],
Human action recognition using Action Trait Code,
ICPR12(3456-3459).
WWW Link. 1302
BibRef

Zhang, X.[Xu], Miao, Z.J.[Zhen-Jiang], Wan, L.[Lili],
Human action categories using motion descriptors,
ICIP12(1381-1384).
IEEE DOI 1302
BibRef

Ashraf, N.[Nazim], Foroosh, H.[Hassan],
Human action recognition in video data using invariant characteristic vectors,
ICIP12(1385-1388).
IEEE DOI 1302
BibRef

Lin, C.A.[Chin-An], Lin, Y.Y.[Yen-Yu], Liao, H.Y.M.[Hong-Yuan Mark], Jeng, S.K.[Shyh-Kang],
Action recognition using instance-specific and class-consistent cues,
ICIP12(1373-1376).
IEEE DOI 1302
BibRef

Ullah, M.M.[Muhammad Muneeb], Laptev, I.[Ivan],
Actlets: A novel local representation for human action recognition in video,
ICIP12(777-780).
IEEE DOI 1302
BibRef

Roomi, S.M.M.[S. Mohamed Mansoor], Saranya, S.R., Banu, S.N.[S. Nashrin],
Human action classification in partitioned feature space,
IMVIP12(21-24).
IEEE DOI 1302
BibRef

Natarajan, P.[Pradeep], Wu, S.[Shuang], Vitaladevuni, S.[Shiv], Zhuang, X.D.[Xiao-Dan], Tsakalidis, S.[Stavros], Park, U.S.[Un-Sang], Prasad, R.[Rohit], Natarajan, P.[Premkumar],
Multimodal feature fusion for robust event detection in web videos,
CVPR12(1298-1305).
IEEE DOI 1208
BibRef

Duan, L.X.[Li-Xin], Xu, D.[Dong], Chang, S.F.[Shih-Fu],
Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach,
CVPR12(1338-1345).
IEEE DOI 1208
BibRef

Kumari, S., Mitra, S.K.,
Human Action Recognition Using DFT,
NCVPRIPG11(239-242).
IEEE DOI 1205
BibRef

Shan, Y.[Yanhu], Wang, S.[Shiquan], Zhang, Z.[Zhang], Huang, K.Q.[Kai-Qi],
An X-T slice based method for action recognition,
VS11(1897-1903).
IEEE DOI 1201
BibRef

Masood, S.Z.[Syed Zain], Nagaraja, A.[Adarsh], Khan, N.[Nazar], Zhu, J.J.[Jie-Jie], Tappen, M.F.[Marshall F.],
Correcting cuboid corruption for action recognition in complex environment,
VECTaR11(1540-1547).
IEEE DOI 1201
BibRef

Kuehne, H., Jhuang, H., Garrote, E., Poggio, T., Serre, T.,
HMDB: A large video database for human motion recognition,
ICCV11(2556-2563).
IEEE DOI 1201
Dataset, Action Recognition. The internet has billions of videos, most recognition datasets have a dozen. The dataset itself:
See also HMDB: a large human motion database. BibRef

Sorschag, R.[Robert], Horhan, M.[Markus],
Action scene detection from motion and events,
ICIP11(3641-3644).
IEEE DOI 1201
BibRef

Ramadan, S.[Samah], Davis, L.S.[Larry S.],
Action recognition using Partial Least Squares and Support Vector Machines,
ICIP11(533-536).
IEEE DOI 1201
BibRef

Hsieh, C.Y.[Chung-Yang], Lin, W.Y.[Wei-Yang],
Effective fusing the factored matrices in dual tensors for action recognition,
MVA15(386-389)
IEEE DOI 1507
Computer vision BibRef

Kamal, A.T.[Ahmed Tashrif], Song, B.[Bi], Roy-Chowdhury, A.K.[Amit K.],
Belief consensus for distributed action recognition,
ICIP11(141-144).
IEEE DOI 1201
BibRef

Sharma, B.[Bishwajit], Venkatesh, K.S., Mukerjee, A.[Amitabha],
Fourier shape-frequency words for actions,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

González, A.[Ana], Hortas, M.O.[Marcos Ortega], Penedo, M.G.[Manuel G.],
Fully Automatic Methodology for Human Action Recognition Incorporating Dynamic Information,
CIARP11(173-180).
Springer DOI 1111
BibRef

Xie, Y.L.[Yue-Lei], Chang, H.[Hong], Li, Z.[Zhe], Liang, L.H.[Lu-Hong], Chen, X.L.[Xi-Lin], Zhao, D.B.[De-Bin],
A unified framework for locating and recognizing human actions,
CVPR11(25-32).
IEEE DOI 1106
BibRef

Krausz, B.[Barbara], Bauckhage, C.[Christian],
Action Recognition in Videos Using Nonnegative Tensor Factorization,
ICPR10(1763-1766).
IEEE DOI 1008
BibRef

Liu, Q.G.[Qi-Guang], Cao, X.C.[Xiao-Chun],
Action Recognition Using Subtensor Constraint,
ECCV12(III: 764-777).
Springer DOI 1210
BibRef

Kiani, H.[Hamed], Sim, T.[Terence], Lucey, S.[Simon],
Multi-channel correlation filters for human action recognition,
ICIP14(1485-1489)
IEEE DOI 1502
Correlation BibRef

Ali, S.[Saad], Lucey, S.[Simon],
Are Correlation Filters Useful for Human Action Recognition?,
ICPR10(2608-2611).
IEEE DOI 1008
BibRef

Satkin, S.[Scott], Hebert, M.[Martial],
Modeling the Temporal Extent of Actions,
ECCV10(I: 536-548).
Springer DOI 1009
BibRef

Naiel, M.A.[Mohamed A.], Abdelwahab, M.M.[Moataz M.], El-Saban, M.[Motaz],
Multi-view human action recognition system employing 2DPCA,
WACV11(270-275).
IEEE DOI 1101
BibRef

Monti, F.[Francesco], Regazzoni, C.S.[Carlo S.],
Human action recognition using the motion of interest points,
ICIP10(709-712).
IEEE DOI 1009
BibRef

Rani, A., Kumar, S., Micheloni, C., Foresti, G.L.,
Human Action Recognition using a Hybrid NTLD Classifier,
AVSS10(262-269).
IEEE DOI 1009
BibRef

Ariki, Y.[Yasuo], Tonaru, T.[Takuya], Takiguchi, T.[Tetsuya],
Human Action Recognition Using HDP by Integrating Motion and Location Information,
ACCV09(II: 291-300).
Springer DOI 0909
BibRef

Vezzani, R., Piccardi, M., Cucchiara, R.,
An efficient Bayesian framework for on-line action recognition,
ICIP09(3553-3556).
IEEE DOI 0911
BibRef

Dhillon, P.S.[Paramveer S.], Nowozin, S.[Sebastian], Lampert, C.H.[Christoph H.],
Combining appearance and motion for human action classification in videos,
VCL-ViSU09(22-29).
IEEE DOI 0906
BibRef

Bojanowski, P.[Piotr], Lajugie, R.[Rémi], Bach, F.[Francis], Laptev, I.[Ivan], Ponce, J.[Jean], Schmid, C.[Cordelia], Sivic, J.[Josef],
Weakly Supervised Action Labeling in Videos under Ordering Constraints,
ECCV14(V: 628-643).
Springer DOI 1408
BibRef

Bojanowski, P., Bach, F., Laptev, I., Ponce, J., Schmid, C., Sivic, J.,
Finding Actors and Actions in Movies,
ICCV13(2280-2287)
IEEE DOI 1403
BibRef

Duchenne, O.[Olivier], Laptev, I.[Ivan], Sivic, J.[Josef], Bach, F.[Francis], Ponce, J.[Jean],
Automatic Annotation of Human Actions in Video,
ICCV09(1491-1498).
IEEE DOI 0909
BibRef

Wolf, L.B.[Lior B.], Hanani, Y.[Yair], Hassner, T.[Tal],
A Piggyback Representation for Action Recognition,
DeepLearn14(520-525)
IEEE DOI 1409
BibRef

Kliper-Gross, O.[Orit], Gurovich, Y.[Yaron], Hassner, T.[Tal], Wolf, L.B.[Lior B.],
Motion Interchange Patterns for Action Recognition in Unconstrained Videos,
ECCV12(VI: 256-269).
Springer DOI 1210
BibRef

Yeffet, L.[Lahav], Wolf, L.B.[Lior B.],
Local Trinary Patterns for human action recognition,
ICCV09(492-497).
IEEE DOI 0909
BibRef

Huang, W.[Wei], Wu, Q.M.J.[Q.M. Jonathan],
Human action recognition using Recursive Self Organizing map and longest common subsequence matching,
WACV09(1-6).
IEEE DOI 0912
BibRef

Dondera, R.[Radu], Doermann, D.S.[David S.], Davis, L.S.[Larry S.],
Action recognition based on human movement characteristics,
WMVC09(1-8).
IEEE DOI 0912
BibRef

Du, C.H.[Chun-Hua], Wu, Q.A.[Qi-Ang], Yang, J.[Jie], He, X.J.[Xiang-Jian], Chen, Y.[Yan],
Subspace Analysis Methods plus Motion History Image for Human Action Recognition,
DICTA08(606-611).
IEEE DOI 0812
BibRef

Mimura, Y.[Yuta], Hotta, K.[Kazuhiro], Takahashi, H.[Haruhisa],
Action Recognition Based on Non-parametric Probability Density Function Estimation,
ISVC09(II: 489-498).
Springer DOI 0911
BibRef

Cohen, C.J.,
A control theoretic method for categorizing visual imagery as human motion behaviors,
AIPR05(184-191).
IEEE DOI 0510
BibRef

Sun, X.H.[Xing-Hua], Chen, M.Y.[Ming-Yu], Hauptmann, A.G.[Alexander G.],
Action recognition via local descriptors and holistic features,
CVPR4HB09(58-65).
IEEE DOI 0906
BibRef

Poppe, R.[Ronald], Poel, M.[Mannes],
Discriminative human action recognition using pairwise CSP classifiers,
FG08(1-6).
IEEE DOI 0809
BibRef

Hsiao, P.C.[Pei-Chi], Chen, C.S.[Chu-Song], Chang, L.W.[Long-Wen],
Human action recognition using temporal-state shape contexts,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Salgian, A.[Andrea],
Commentary Paper on 'Recognizing Shapes in Video Sequences Using Multi-class Boosting',
AVSBS08(75-76).
IEEE DOI 0809

See also Recognizing Shapes in Video Sequences Using Multi-class Boosting. BibRef

Schindler, K.[Konrad], Van Gool, L.J.[Luc J.],
Action snippets: How many frames does human action recognition require?,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Hochuli, A.G., Oliveira, L.E.S., Britto, A.S., Koerich, A.L.,
Detection and Classification of Human Movements in Video Scenes,
PSIVT07(678-691).
Springer DOI 0712
BibRef

Malik, J.[Jitendra],
Recognition and synthesis of human actions from video,
VMV04(189). 0411
BibRef

Cho, K.[Kyungeun], Cho, H.J.[Hyung-Je], Um, K.[Kyhyun],
Inferring Stochastic Regular Grammar with Nearness Information for Human Action Recognition,
ICIAR06(II: 193-204).
Springer DOI 0610
BibRef

Chen, H.S.[Hsuan-Sheng], Chen, H.T.[Hua-Tsung], Chen, Y.W.[Yi-Wen], Lee, S.Y.[Suh-Yin],
Human action recognition using star skeleton,
VSSN06(171-178).
WWW Link. 0701
BibRef

Mitani, M.[Masakatsu], Takaya, M.[Mamoru], Kojima, A.[Atsuhiro], Fukunaga, K.[Kunio],
Environment Recognition Based on Analysis of Human Actions for Mobile Robot,
ICPR06(IV: 782-786).
IEEE DOI 0609
BibRef

Cuntoor, N.P.[Naresh P.], Welborn, M.[Matt],
Recognizing Shapes in Video Sequences Using Multi-class Boosting,
AVSBS08(67-74).
IEEE DOI 0809

See also Commentary Paper on Recognizing Shapes in Video Sequences Using Multi-class Boosting. BibRef

Fihl, P.[Preben], Holte, M.B.[Michael B.], Moeslund, T.B.[Thomas B.],
Motion Primitives and Probabilistic Edit Distance for Action Recognition,
GW07(24-35).
Springer DOI 0705
BibRef

Fihl, P.[Preben], Holte, M.B.[Michael B.], Moeslund, T.B.[Thomas B.], Reng, L.,
Action Recognition Using Motion Primitives and Probabilistic Edit Distance,
AMDO06(375-384).
Springer DOI 0607
BibRef

Yamamoto, M., Mitomi, H., Fujiwara, F., Sato, T.,
Bayesian Classification of Task-Oriented Actions Based on Stochastic Context-Free Grammar,
FGR06(317-323).
IEEE DOI 0604
BibRef

Feng, Z.[Zhou], Cham, T.J.[Tat-Jen],
Video-based Human Action Classification with Ambiguous Correspondences,
VHCI05(III: 82-82).
IEEE DOI 0507
BibRef

Kitani, K.M.[Kris M.], Okabe, T.[Takahiro], Sato, Y.[Yoichi], Sugimoto, A.[Akihiro],
Discovering Primitive Action Categories by Leveraging Relevant Visual Context,
VS08(xx-yy). 0810
BibRef

Sun, L., Jia, K., Chen, K., Yeung, D.Y., Shi, B.E., Savarese, S.[Silvio],
Lattice Long Short-Term Memory for Human Action Recognition,
ICCV17(2166-2175)
IEEE DOI 1802
gesture recognition, image colour analysis, image motion analysis, image sequences, BibRef

Lan, T.[Tian], Zhu, Y.[Yuke], Zamir, A.R.[Amir Roshan], Savarese, S.[Silvio],
Action Recognition by Hierarchical Mid-Level Action Elements,
ICCV15(4552-4560)
IEEE DOI 1602
Distance measurement BibRef

Hou, R.[Rui], Zamir, A.R.[Amir Roshan], Sukthankar, R.[Rahul], Shah, M.[Mubarak],
DaMN: Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition,
ECCV14(III: 721-736).
Springer DOI 1408
BibRef

Batra, D.[Dhruv], Chen, T.H.[Tsu-Han], Sukthankar, R.[Rahul],
Space-Time Shapelets for Action Recognition,
Motion08(1-6).
IEEE DOI 0801
BibRef

Kuniyoshi, Y., Inoue, H.,
Qualitative Recognition of Ongoing Human Action Sequences,
IJCAI93(1600-1609). BibRef 9300

Pinhanez, C.[Claudio],
Representation and Recognition of Action in Interactive Spaces,
Vismod--493, May 1999 BibRef 9905 Ph.D.Thesis, M.I.T., 1999.
PDF File. BibRef

Pinhanez, C.S.[Claudio Santos], Bobick, A.F.[Aaron F.],
Human Action Detection Using PNF Propagation of Temporal Constraints,
CVPR98(898-904).
IEEE DOI BibRef 9800
And: Vismod--423, 1998.
HTML Version. BibRef

Pinhanez, C.S.[Claudio Santos], Bobick, A.F.[Aaron F.],
Fast Constraint Propagation on Specialized Allen Networks and its Application to Action Recognition and Control,
Vismod--456, January 1998.
PS File. BibRef 9801
Earlier:
PNF Propagation and the Detection of Actions Described by Temporal Intervals,
DARPA97(227-234). BibRef
Earlier:
PNF Calculus and the Detection of Actions Described by Temporal Intervals,
Vismod--414, 1997. BibRef
And:
Approximate World Models: Incorporating Qualitative and Linguistic Information into Vision Systems,
AAAI-96(1116-1123). BibRef
And: Vismod-376, 1996.
HTML Version. BibRef

Miyamori, H.[Hisashi], Iisaku, S.I.[Shun-Ichi],
Video Annotation for Content-based Retrieval using Human Behavior Analysis and Domain Knowledge,
AFGR00(320-325).
IEEE DOI 0003
BibRef

Pentland, A.P.,
Machine Understanding of Human Action,
ARPA96(757-764). BibRef 9600

Gavrila, D.M.,
The Analysis of Human Movement and Its Application for Visual Surveillance,
VS99(xx-yy). BibRef 9900

Yamamoto, M.[Masanobu], Ohta, Y.[Yoshito], Yamagiwa, T.[Takashi], Yagishita, K.[Katsutoshi], Yamanaka, H.[Hajime], Ohkubo, N.[Naoto],
Human Action Tracking Guided by Key-Frames,
AFGR00(354-361).
IEEE DOI 0003
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Action Localization, Action Localisation .


Last update:Mar 16, 2024 at 20:36:19