16.7.4.6.1 Action Localization

Chapter Contents (Back)
Action Localization.

Yeo, C., Ahammad, P., Ramchandran, K., Sastry, S.S.,
High-Speed Action Recognition and Localization in Compressed Domain Videos,
CirSysVideo(18), No. 8, August 2008, pp. 1006-1015.
IEEE DOI 0809
BibRef

Cho, J.C.[Jung-Chan], Lee, M.[Minsik], Chang, H.J.[Hyung Jin], Oh, S.H.[Song-Hwai],
Robust action recognition using local motion and group sparsity,
PR(47), No. 5, 2014, pp. 1813-1825.
Elsevier DOI 1402
Action recognition BibRef

Wang, G.F.[Guo-Feng], Qin, X.Y.[Xue-Ying], Zhong, F.[Fan], Liu, Y.[Yue], Li, H.B.[Hong-Bo], Peng, Q.S.[Qun-Sheng], Yang, M.H.[Ming-Hsuan],
Visual Tracking via Sparse and Local Linear Coding,
IP(24), No. 11, November 2015, pp. 3796-3809.
IEEE DOI 1509
image coding BibRef
Earlier: A1, A3, A4, A6, A2, Only:
Visual Tracking in Continuous Appearance Space via Sparse Coding,
ACCV12(III:57-70).
Springer DOI 1304
See also Visual Tracking via Temporally Smooth Sparse Coding. See also Visual Tracking via Coarse and Fine Structural Local Sparse Appearance Models. BibRef

Qi, Y.K.[Yuan-Kai], Qin, L.[Lei], Zhang, J.[Jian], Zhang, S.P.[Sheng-Ping], Huang, Q.M.[Qing-Ming], Yang, M.H.[Ming-Hsuan],
Structure-Aware Local Sparse Coding for Visual Tracking,
IP(27), No. 8, August 2018, pp. 3857-3869.
IEEE DOI 1806
image coding, image representation, image sequences, object tracking, target tracking, dictionary, template update BibRef

Jain, M.[Mihir], van Gemert, J.[Jan], Jégou, H.[Hervé], Bouthemy, P.[Patrick], Snoek, C.G.M.[Cees G. M.],
Tubelets: Unsupervised Action Proposals from Spatiotemporal Super-Voxels,
IJCV(124), No. 3, September 2017, pp. 287-311.
Springer DOI 1708
BibRef
Earlier:
Action Localization with Tubelets from Motion,
CVPR14(740-747)
IEEE DOI 1409
determine when and where certain actions appear. BibRef

Jain, M.[Mihir], van Gemert, J.C.[Jan C.], Snoek, C.G.M.[Cees G.M.],
What do 15,000 object categories tell us about classifying and localizing actions?,
CVPR15(46-55)
IEEE DOI 1510
BibRef

Mettes, P.S.[Pascal S.], Snoek, C.G.M.[Cees G. M.],
Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions,
ICCV17(4453-4462)
IEEE DOI 1802
image classification, image motion analysis, object detection, object recognition, video signal processing, Trajectory BibRef

Mettes, P.S.[Pascal S.], Snoek, C.G.M.[Cees G. M.],
Pointly-Supervised Action Localization,
IJCV(127), No. 3, March 2019, pp. 263-281.
Springer DOI 1903
Localization by finding bounding boxes. BibRef

Mettes, P.S.[Pascal S.], van Gemert, J.C.[Jan C.], Snoek, C.G.M.[Cees G. M.],
Spot On: Action Localization from Pointly-Supervised Proposals,
ECCV16(V: 437-453).
Springer DOI 1611
BibRef

van Gemert, J.C.[Jan C.], Jain, M.[Mihir], Gati, E.[Ella], Snoek, C.G.M.[Cees G.M.],
APT: Action localization proposals from dense trajectories,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Jain, M.[Mihir], van Gemert, J.C.[Jan C.], Mensink, T.[Thomas], Snoek, C.G.M.[Cees G.M.],
Objects2action: Classifying and Localizing Actions without Any Video Example,
ICCV15(4588-4596)
IEEE DOI 1602
Computational modeling BibRef

Soomro, K.[Khurram], Idrees, H.[Haroon], Shah, M.[Mubarak],
Online Localization and Prediction of Actions and Interactions,
PAMI(41), No. 2, February 2019, pp. 459-472.
IEEE DOI 1901
BibRef
Earlier:
Predicting the Where and What of Actors and Actions through Online Action Localization,
CVPR16(2648-2657)
IEEE DOI 1612
BibRef
Earlier:
Action Localization in Videos through Context Walk,
ICCV15(3280-3288)
IEEE DOI 1602
Videos, Support vector machines, Predictive models, Motion segmentation, Visualization, Training, Dynamic programming, structural SVM. Context BibRef

Soomro, K.[Khurram], Shah, M.[Mubarak],
Unsupervised Action Discovery and Localization in Videos,
ICCV17(696-705)
IEEE DOI 1802
directed graphs, feature extraction, image classification, image segmentation, knapsack problems, pattern clustering, Videos BibRef

Song, H., Wu, X., Zhu, B., Wu, Y., Chen, M., Jia, Y.,
Temporal Action Localization in Untrimmed Videos Using Action Pattern Trees,
MultMed(21), No. 3, March 2019, pp. 717-730.
IEEE DOI 1903
data mining, feature extraction, image motion analysis, image segmentation, learning (artificial intelligence), overlap loss function BibRef

Zeng, R.H.[Run-Hao], Gan, C.[Chuang], Chen, P.H.[Pei-Hao], Huang, W.B.[Wen-Bing], Wu, Q.Y.[Qing-Yao], Tan, M.K.[Ming-Kui],
Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization,
IP(28), No. 12, December 2019, pp. 5797-5808.
IEEE DOI 1909
Videos, Training, Proposals, Image segmentation, Correlation, Object detection, Semantics, Weakly supervised learning, untrimmed video BibRef

Zhang, Y.Q.[Yong-Qiang], Ding, M.L.[Ming-Li], Bai, Y.C.[Yan-Cheng], Liu, D.[Dandan], Ghanem, B.[Bernard],
Learning a strong detector for action localization in videos,
PRL(128), 2019, pp. 407-413.
Elsevier DOI 1912
Frame-level object detection, Deformable anchor cuboid, Action localization BibRef

Heilbron, F.C.[Fabian Caba], Lee, J.Y.[Joon-Young], Jin, H.L.[Hai-Lin], Ghanem, B.[Bernard],
What Do I Annotate Next? An Empirical Study of Active Learning for Action Localization,
ECCV18(XI: 212-229).
Springer DOI 1810
BibRef

Heilbron, F.C.[Fabian Caba], Barrios, W., Escorcia, V., Ghanem, B.[Bernard],
SCC: Semantic Context Cascade for Efficient Action Detection,
CVPR17(3175-3184)
IEEE DOI 1711
Computational modeling, Context modeling, Dogs, Legged locomotion, Proposals, Semantics, Video, sequences BibRef

Escorcia, V.[Victor], Heilbron, F.C.[Fabian Caba], Niebles, J.C.[Juan Carlos], Ghanem, B.[Bernard],
DAPs: Deep Action Proposals for Action Understanding,
ECCV16(III: 768-784).
Springer DOI 1611
BibRef

Heilbron, F.C.[Fabian Caba], Thabet, A.[Ali], Niebles, J.C.[Juan Carlos], Ghanem, B.[Bernard],
Camera Motion and Surrounding Scene Appearance as Context for Action Recognition,
ACCV14(IV: 583-597).
Springer DOI 1504
BibRef

Long, F.C.[Fu-Chen], Yao, T.[Ting], Qiu, Z.F.[Zhao-Fan], Tian, X.M.[Xin-Mei], Mei, T.[Tao], Luo, J.B.[Jie-Bo],
Coarse-to-Fine Localization of Temporal Action Proposals,
MultMed(22), No. 6, June 2020, pp. 1577-1590.
IEEE DOI 2005
BibRef
Earlier: A1, A2, A3, A4, A6, A5:
Gaussian Temporal Awareness Networks for Action Localization,
CVPR19(344-353).
IEEE DOI 2002
Proposals, Videos, Painting, Brushes, Task analysis, Feature extraction, Action Proposals, Action Recognition, Video Captioning BibRef


Rodriguez-Opazo, C.[Cristian], Marrese-Taylor, E.[Edison], Saleh, F.S.[Fatemeh Sadat], Li, H.[Hongdong], Gould, S.[Stephen],
Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention,
WACV20(2453-2462)
IEEE DOI 2006
Proposals, Task analysis, Natural languages, Visualization, Semantics, Robots BibRef

Islam, A., Radke, R.J.,
Weakly Supervised Temporal Action Localization Using Deep Metric Learning,
WACV20(536-545)
IEEE DOI 2006
Feature extraction, Measurement, Training, Task analysis, Machine learning, Feeds, Face BibRef

Rashid, M., Kjellström, H., Lee, Y.J.,
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks,
WACV20(604-613)
IEEE DOI 2006
Convolution, Training, Feature extraction, Testing, Motion segmentation, Predictive models BibRef

Miki, D., Chen, S., Demachi, K.,
Weakly Supervised Graph Convolutional Neural Network for Human Action Localization,
WACV20(642-650)
IEEE DOI 2006
Feature extraction, Time series analysis, Training, Convolution, Machine learning, Skeleton, Supervised learning BibRef

Kwak, I.S., Guo, J., Hantman, A., Branson, K., Kriegman, D.,
Detecting the Starting Frame of Actions in Video,
WACV20(478-486)
IEEE DOI 2006
Mice, Neuroscience, Optimal matching, Neural activity, Recurrent neural networks, Task analysis, Neurons BibRef

Gleason, J., Schwarcz, S., Ranjan, R., Castillo, C.D., Chen, J., Chellappa, R.,
Activity Detection in Untrimmed Videos Using Chunk-based Classifiers,
WACVWS20(107-116)
IEEE DOI 2006
Videos, Task analysis, Proposals, Computer architecture, Machine learning, Standards BibRef

Gleason, J., Castillo, C.D., Chellappa, R.,
Real-time Detection of Activities in Untrimmed Videos,
WACVWS20(117-125)
IEEE DOI 2006
Videos, Proposals, Cameras, Real-time systems, Training, Object detection, Measurement BibRef

Rahman, M.A., Laganière, R.,
Single-Stage End-to-End Temporal Activity Detection in Untrimmed Videos,
CRV20(206-213)
IEEE DOI 2006
temporal activity detection, activity recognition, single-stage detection, 3D convolutional network BibRef

Narayan, S., Cholakkal, H., Khan, F.S., Shao, L.,
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization,
ICCV19(8678-8686)
IEEE DOI 2004
Code, Counting.
WWW Link. feature extraction, image classification, image sequences, video signal processing, Motion pictures BibRef

Wu, W., He, D., Tan, X., Chen, S., Wen, S.,
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition,
ICCV19(6221-6230)
IEEE DOI 2004
image classification, image motion analysis, learning (artificial intelligence), Markov processes BibRef

Gao, M., Xu, M., Davis, L., Socher, R., Xiong, C.,
StartNet: Online Detection of Action Start in Untrimmed Videos,
ICCV19(5541-5550)
IEEE DOI 2004
feature extraction, gesture recognition, image classification, image colour analysis, Training data BibRef

Wehrmann, J., Lopes, M.A., Souza, D., Barros, R.,
Language-Agnostic Visual-Semantic Embeddings,
ICCV19(5803-5812)
IEEE DOI 2004
Code, Visualization.
WWW Link. data visualisation, information retrieval, learning (artificial intelligence), Architecture BibRef

Zeng, R., Huang, W., Gan, C., Tan, M., Rong, Y., Zhao, P., Huang, J.,
Graph Convolutional Networks for Temporal Action Localization,
ICCV19(7093-7102)
IEEE DOI 2004
convolutional neural nets, graph theory, image classification, learning (artificial intelligence), action proposal graph BibRef

Pramono, R.R.A., Chen, Y., Fang, W.,
Hierarchical Self-Attention Network for Action Localization in Videos,
ICCV19(61-70)
IEEE DOI 2004
cameras, clutter, convolutional neural nets, image capture, image fusion, image motion analysis, image recognition, Training BibRef

Nguyen, P., Ramanan, D., Fowlkes, C.,
Weakly-Supervised Action Localization With Background Modeling,
ICCV19(5501-5510)
IEEE DOI 2004
image motion analysis, image sequences, learning (artificial intelligence), multimedia Web sites, Training data BibRef

Zhai, C.B.[Chang-Bo], Wang, L.[Le], Zhang, Q.L.[Qi-Lin], Gao, Z.N.[Zhan-Ning], Niu, Z.X.[Zhen-Xing], Zheng, N.N.[Nan-Ning], Hua, G.[Gang],
Action Co-localization in an Untrimmed Video by Graph Neural Networks,
MMMod20(I:555-567).
Springer DOI 2003
BibRef

Liu, D.C.[Dao-Chang], Jiang, T.T.[Ting-Ting], Wang, Y.[Yizhou],
Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization,
CVPR19(1298-1307).
IEEE DOI 2002
BibRef

Su, R.[Rui], Ouyang, W.L.[Wan-Li], Zhou, L.P.[Lu-Ping], Xu, D.[Dong],
Improving Action Localization by Progressive Cross-Stream Cooperation,
CVPR19(12008-12017).
IEEE DOI 2002
BibRef

Wang, W.N.[Wei-Ning], Huang, Y.[Yan], Wang, L.[Liang],
Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model,
CVPR19(334-343).
IEEE DOI 2002
BibRef

Li, H., Yang, J., Zhou, Y., Li, S.,
Rethinking Temporal Structure Modeling Method for Temporal Action Localization,
ICIP19(3676-3680)
IEEE DOI 1910
Action localization, spatial-temporal feature, video content analysis, supervised learning BibRef

Nguyen, P., Han, B., Liu, T., Prasad, G.,
Weakly Supervised Action Localization by Sparse Temporal Pooling Network,
CVPR18(6752-6761)
IEEE DOI 1812
Videos, Proposals, Feature extraction, Task analysis, Convolutional neural networks, Prediction algorithms BibRef

Vial, R., Zhu, H., Tian, Y., Lu, S.,
Search video action proposal with recurrent and static YOLO,
ICIP17(2035-2039)
IEEE DOI 1803
Clutter, Detectors, Dynamic programming, Labeling, Object detection, Proposals, Training, action detection, action localization, video object proposal BibRef

Shao, D.[Dian], Xiong, Y.[Yu], Zhao, Y.[Yue], Huang, Q.Q.[Qing-Qiu], Qiao, Y.[Yu], Lin, D.[Dahua],
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries,
ECCV18(IX: 202-218).
Springer DOI 1810
BibRef

Sharir, G.[Gilad], Tuytelaars, T.[Tinne],
Action in chains: A chains model for action localization and classification,
WACV14(610-617)
IEEE DOI 1406
Computational modeling BibRef

Ta, A.P.[Anh-Phuong], Wolf, C.[Christian], Lavoue, G.[Guillaume], Baskurt, A.[Atilla], Jolion, J.M.[Jean-Michel],
Pairwise Features for Human Action Recognition,
ICPR10(3224-3227).
IEEE DOI 1008
BibRef
And: A1, A2, A3, A4, Only:
Recognizing and Localizing Individual Activities through Graph Matching,
AVSS10(196-203).
IEEE DOI 1009
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Accumulation Methods, Motion Histograms for Human Action Recognition .


Last update:Jul 10, 2020 at 16:03:35