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0909
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1402
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Earlier:
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Earlier:
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BMVC11(xx-yy).
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1110
Award, BMVC.
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WACV11(294-300).
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BMVC10(xx-yy).
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1604
Activity localization
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Real Time Motion Changes for New Event Detection and Recognition,
VS10(54-63).
Springer DOI
1109
BibRef
Crispim-Junior, C.F.[Carlos Fernando],
Buso, V.,
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Meditskos, G.,
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Kompatsiaris, I.Y.,
Bremond, F.[Francois],
Semantic Event Fusion of Different Visual Modality Concepts for
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PAMI(38), No. 8, August 2016, pp. 1598-1611.
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assisted living
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CVIU(150), No. 1, 2016, pp. 95-108.
Elsevier DOI
1608
Gaussian Process
BibRef
Pintea, S.L.[Silvia-Laura],
van Gemert, J.C.[Jan C.],
Smeulders, A.W.M.[Arnold W. M.],
Asymmetric kernel in Gaussian Processes for learning target variance,
PRL(108), 2018, pp. 70-77.
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Gaussian process, Kernel metric learning,
Asymmetric kernel distances, Regression
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Pintea, S.L.[Silvia L.],
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Smeulders, A.W.M.[Arnold W. M.],
Déjŕ Vu: Motion Prediction in Static Images,
ECCV14(III: 172-187).
Springer DOI
1408
Motion prediction in single still images by learning it from a set of videos.
BibRef
Pintea, S.L.[Silvia L.],
van Gemert, J.C.[Jan C.],
Making a Case for Learning Motion Representations with Phase,
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Springer DOI
1611
BibRef
Pintea, S.L.[Silvia L.],
Mettesas, P.S.[Pascal S.],
van Gemert, J.C.[Jan C.],
Smeulders, A.W.M.[Arnold W. M.],
Featureless: Bypassing feature extraction in action categorization,
ICIP16(196-200)
IEEE DOI
1610
Boosting
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Yu, L.,
Yang, Y.,
Huang, Z.,
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Song, J.,
Shen, H.T.,
Web Video Event Recognition by Semantic Analysis From Ubiquitous
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IEEE DOI
1612
Dataset, Video Events. UQE50 Dataset.
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IP(26), No. 5, May 2017, pp. 2149-2162.
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1704
Adaptation models
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Gao, L.L.[Lian-Li],
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PR(107), 2020, pp. 107477.
Elsevier DOI
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Temporal action proposal generation and detection,
Deep learning, Untrimmed video analysis
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Li, C.[Chao],
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Huang, Z.[Zi],
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Leveraging Weak Semantic Relevance for Complex Video Event
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ICCV17(3667-3676)
IEEE DOI
1802
feature extraction, image classification, image motion analysis,
learning (artificial intelligence), object detection,
Visualization
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Zhen, X.T.[Xian-Tong],
Zheng, F.[Feng],
Shao, L.[Ling],
Cao, X.B.[Xian-Bin],
Xu, D.[Dan],
Supervised Local Descriptor Learning for Human Action Recognition,
MultMed(19), No. 9, September 2017, pp. 2056-2065.
IEEE DOI
1708
Feature extraction, Image recognition, Kernel, Manifolds,
Measurement, Supervised learning, Visualization,
Action recognition, dimensionality reduction,
image-to-class distance, large scale local features,
manifold regularization, naive, Bayes, nearest, neighbor
BibRef
Zheng, F.[Feng],
Shao, L.[Ling],
Song, Z.[Zhan],
Eigen-space learning using semi-supervised diffusion maps for human
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CIVR10(151-157).
DOI Link
1007
BibRef
And:
A set of co-occurrence matrices on the intrinsic manifold of human
silhouettes for action recognition,
CIVR10(454-461).
DOI Link
1007
BibRef
Shao, L.[Ling],
Ji, L.[Ling],
A descriptor combining MHI and PCOG for human motion classification,
CIVR10(236-242).
DOI Link
1007
BibRef
Earlier:
Motion Histogram Analysis Based Key Frame Extraction for Human
Action/Activity Representation,
CRV09(88-92).
IEEE DOI
0905
BibRef
Shao, L.[Ling],
Mattivi, R.[Riccardo],
Feature detector and descriptor evaluation in human action recognition,
CIVR10(477-484).
DOI Link
1007
BibRef
Jiang, Y.G.[Yu-Gang],
Wu, Z.X.[Zu-Xuan],
Wang, J.[Jun],
Xue, X.Y.[Xiang-Yang],
Chang, S.F.[Shih-Fu],
Exploiting Feature and Class Relationships in Video Categorization
with Regularized Deep Neural Networks,
PAMI(40), No. 2, February 2018, pp. 352-364.
IEEE DOI
1801
Existence of a particular human action or a complex event.
Benchmark testing, Correlation, Feature extraction, Internet,
Neural networks, Semantics, Visualization, Video categorization,
regularization
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Lai, K.T.[Kuan-Ting],
Yu, F.X.[Felix X.],
Chen, M.S.[Ming-Syan],
Chang, S.F.[Shih-Fu],
Video Event Detection by Inferring Temporal Instance Labels,
CVPR14(2251-2258)
IEEE DOI
1409
Multiple Instance Learning; Proportion SVM; Video Event Detection
BibRef
Lai, K.T.[Kuan-Ting],
Liu, D.[Dong],
Chen, M.S.[Ming-Syan],
Chang, S.F.[Shih-Fu],
Recognizing Complex Events in Videos by Learning Key Static-Dynamic
Evidences,
ECCV14(III: 675-688).
Springer DOI
1408
BibRef
Soleimani, H.[Hossein],
Hensman, J.[James],
Saria, S.[Suchi],
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction,
PAMI(40), No. 8, August 2018, pp. 1948-1963.
IEEE DOI
1807
Computational modeling, Data models, Detectors, Predictive models,
Reliability, Time series analysis, Uncertainty,
time series
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Tralie, C.,
Perea, J.,
(Quasi)Periodicity Quantification in Video Data, Using Topology,
SIIMS(11), No. 2, 2018, pp. 1049-1077.
DOI Link
1807
BibRef
Xie, W.L.[Wen-Long],
Yao, H.X.[Hong-Xun],
Sun, X.S.[Xiao-Shuai],
Han, T.T.[Ting-Ting],
Zhao, S.C.[Si-Cheng],
Chua, T.S.[Tat-Seng],
Discovering Latent Discriminative Patterns for Multi-Mode Event
Representation,
MultMed(21), No. 6, June 2019, pp. 1425-1436.
IEEE DOI
1906
Videos, Semantics, Visualization, Event detection, Task analysis,
Encoding, Noise measurement, Segment-level, visual topics,
event epitomes
BibRef
dos Santos, B.N.[Brucce Neves],
Rossi, R.G.[Rafael Geraldeli],
Rezende, S.O.[Solange Oliveira],
Marcacini, R.M.[Ricardo Marcondes],
A two-stage regularization framework for heterogeneous event networks,
PRL(138), 2020, pp. 490-496.
Elsevier DOI
2010
Event analysis, Regularization frameworks, Graph-based learning
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Eun, H.J.[Hyun-Jun],
Lee, S.[Sumin],
Moon, J.Y.[Jin-Young],
Park, J.Y.[Jong-Youl],
Jung, C.[Chanho],
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SRG: Snippet Relatedness-Based Temporal Action Proposal Generator,
CirSysVideo(30), No. 11, November 2020, pp. 4232-4244.
IEEE DOI
2011
Proposals, Videos, Generators,
Hybrid power systems, Moon, Reliability, SRG
BibRef
Senocak, A.[Arda],
Oh, T.H.[Tae-Hyun],
Kim, J.[Junsik],
Yang, M.H.[Ming-Hsuan],
Kweon, I.S.[In So],
Learning to Localize Sound Sources in Visual Scenes:
Analysis and Applications,
PAMI(43), No. 5, May 2021, pp. 1605-1619.
IEEE DOI
2104
BibRef
Earlier:
Learning to Localize Sound Source in Visual Scenes,
CVPR18(4358-4366)
IEEE DOI
1812
Where in scene did sound come from.
Visualization, Videos, Task analysis, Correlation, Deep learning,
Network architecture, Unsupervised learning,
cross-modal retrieval.
Position measurement.
BibRef
Zhao, L.[Liang],
Event Prediction in the Big Data Era: A Systematic Survey,
Surveys(54), No. 5, May 2021, pp. xx-yy.
DOI Link
2107
big data, Event prediction, artificial intelligence
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Messikommer, N.[Nico],
Gehrig, D.[Daniel],
Gehrig, M.[Mathias],
Scaramuzza, D.[Davide],
Bridging the Gap between Events and Frames through
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RALetters(7), 2022.
PDF File.
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Code, Events.
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2200
Hu, W.M.[Wei-Ming],
Liu, H.[Haowei],
Du, Y.[Yang],
Yuan, C.F.[Chun-Feng],
Li, B.[Bing],
Maybank, S.J.[Stephen J.],
Interaction-Aware Spatio-Temporal Pyramid Attention Networks for
Action Classification,
PAMI(44), No. 10, October 2022, pp. 7010-7028.
IEEE DOI
2209
BibRef
Earlier: A3, A4, A5, A1
Add
Zhao, L.[Lili],
Li, Y.X.[Yang-Xi],
ECCV18(XVI: 388-404).
Springer DOI
1810
Videos, Feature extraction, Training, Recurrent neural networks,
Semantics, Principal component analysis, Deep learning,
spatio-temporal pyramid
BibRef
Li, L.[Li],
Yuan, C.F.[Chun-Feng],
Hu, W.M.[Wei-Ming],
Li, B.[Bing],
Top-Down Cues for Event Recognition,
ACCV10(III: 691-702).
Springer DOI
1011
BibRef
Li, L.[Li],
Hu, W.M.[Wei-Ming],
Li, B.[Bing],
Yuan, C.F.[Chun-Feng],
Zhu, P.F.[Peng-Fei],
Li, W.Q.[Wan-Qing],
Event Recognition Based on Top-Down Motion Attention,
ICPR10(3561-3564).
IEEE DOI
1008
BibRef
Levinkov, E.[Evgeny],
Kardoost, A.[Amirhossein],
Andres, B.[Bjoern],
Keuper, M.[Margret],
Higher-Order Multicuts for Geometric Model Fitting and Motion
Segmentation,
PAMI(45), No. 1, January 2023, pp. 608-622.
IEEE DOI
2212
Motion segmentation, Geometric modeling, Costs, Task analysis,
Data models, Computational modeling, Combinatorial optimization,
geometric model fitting
BibRef
Keuper, M.[Margret],
Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation,
ICCV17(4252-4260)
IEEE DOI
1802
graph theory, image motion analysis, image segmentation,
Higher-Order Minimum Cost Lifted Multicuts,
Partitioning algorithms
BibRef
Keuper, M.,
Andres, B.[Bjoern],
Brox, T.,
Motion Trajectory Segmentation via Minimum Cost Multicuts,
ICCV15(3271-3279)
IEEE DOI
1602
Color
BibRef
Kardoost, A.[Amirhossein],
Keuper, M.[Margret],
Solving Minimum Cost Lifted Multicut Problems by Node Agglomeration,
ACCV18(IV:74-89).
Springer DOI
1906
BibRef
Bashmal, L.[Laila],
Bazi, Y.[Yakoub],
Al Rahhal, M.M.[Mohamad Mahmoud],
Zuair, M.[Mansour],
Melgani, F.[Farid],
CapERA: Captioning Events in Aerial Videos,
RS(15), No. 8, 2023, pp. 2139.
DOI Link
2305
BibRef
Liu, Q.Y.[Qin-Ying],
Wang, Z.L.[Zi-Lei],
Rong, S.H.[Sheng-Hai],
Improve Temporal Action Proposals using Hierarchical Context,
PR(140), 2023, pp. 109560.
Elsevier DOI
2305
Temporal action proposal, Contexts, Attention model
BibRef
Koutras, P.,
Zlatinsi, A.,
Maragos, P.,
Exploring CNN-Based Architectures for Multimodal Salient Event
Detection in Videos,
IVMSP18(1-5)
IEEE DOI
1809
Videos, Visualization,
Event detection, Motion pictures, Kernel
BibRef
Cavaliere, D.,
Greco, L.,
Ritrovato, P.,
Senatore, S.,
A knowledge-based approach for video event detection using
spatio-temporal sliding windows,
AVSS17(1-6)
IEEE DOI
1806
autonomous aerial vehicles, control engineering computing,
knowledge based systems, navigation, object tracking,
Video sequences
BibRef
Pei, W.J.[Wen-Jie],
Baltruaitis, T.[Tadas],
Tax, D.M.J.[David M.J.],
Morency, L.P.[Louis-Philippe],
Temporal Attention-Gated Model for Robust Sequence Classification,
CVPR17(820-829)
IEEE DOI
1711
Computational modeling, Data models, Hidden Markov models.
To deal with noisy sequence data.
Apply to:
spoken digit recognition, text-based sentiment analysis and visual
event recognition.
BibRef
Sobhani, F.,
Chandramouli, K.,
Zhang, Q.N.[Qian-Ni],
Izquierdo, E.[Ebroul],
Formal representation of events in a surveillance domain ontology,
ICIP16(913-917)
IEEE DOI
1610
Cameras
BibRef
Liu, X.L.[Xue-Liang],
Wang, F.F.[Fei-Fei],
Huet, B.[Benoit],
Wang, F.[Feng],
E2SGM: Event Enrichment and Summarization by Graph Model,
MMMod16(II: 348-353).
Springer DOI
1601
BibRef
Tzelepis, C.,
Mavridaki, E.,
Mezaris, V.,
Patras, I.,
Video aesthetic quality assessment using kernel Support Vector
Machine with isotropic Gaussian sample uncertainty (KSVM-IGSU),
ICIP16(2410-2414)
IEEE DOI
1610
Cameras
BibRef
Tzelepis, C.[Christos],
Mezaris, V.[Vasileios],
Patras, I.[Ioannis],
Video Event Detection Using Kernel Support Vector Machine with
Isotropic Gaussian Sample Uncertainty (KSVM-iGSU),
MMMod16(I: 3-15).
Springer DOI
1601
BibRef
Zografos, V.[Vasileios],
Lenz, R.[Reiner],
Ringaby, E.[Erik],
Felsberg, M.[Michael],
Nordberg, K.[Klas],
Fast Segmentation of Sparse 3D Point Trajectories Using Group
Theoretical Invariants,
ACCV14(IV: 675-691).
Springer DOI
1504
BibRef
Trichet, R.[Remi],
Nevatia, R.[Ramakant],
Video Segmentation Descriptors for Event Recognition,
ICPR14(1940-1945)
IEEE DOI
1412
Color
BibRef
Chen, S.Z.[Shi-Zhe],
Huang, D.[Dong],
Elaborative Rehearsal for Zero-shot Action Recognition,
ICCV21(13618-13627)
IEEE DOI
2203
Training, Protocols, Codes, Target recognition, Semantics,
Benchmark testing, Action and behavior recognition,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Huang, D.[Dong],
Yao, S.T.[Shi-Tong],
Wang, Y.[Yi],
de la Torre, F.[Fernando],
Sequential Max-Margin Event Detectors,
ECCV14(III: 410-424).
Springer DOI
1408
BibRef
Kumar, K.P.,
Parameswaran, L.,
A hybrid method for object identification and event detection in
video,
NCVPRIPG13(1-4)
IEEE DOI
1408
image colour analysis
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Bossard, L.[Lukas],
Guillaumin, M.[Matthieu],
Van Gool, L.J.[Luc J.],
Event Recognition in Photo Collections with a Stopwatch HMM,
ICCV13(1193-1200)
IEEE DOI
1403
Dataset, Event Recognition. 61,000 images in 807 collections, with 14 social event classes.
BibRef
Jain, A.[Arpit],
Gupta, A.[Abhinav],
Rodriguez, M.[Mikel],
Davis, L.S.[Larry S.],
Representing Videos Using Mid-level Discriminative Patches,
CVPR13(2571-2578)
IEEE DOI
1309
Action Recognition; Video Understanding. Patches match across videos.
Alignment, Action.
BibRef
Irvine, J.,
Young, M.[Mon],
Deutsch, O.,
Antelman, E.,
Guler, S.,
Morde, A.,
Ma, X.[Xiang],
Pushee, I.,
Enhanced event recognition in video using image quality assessment,
AIPR12(1-8)
IEEE DOI
1307
computer vision
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Izadinia, H.[Hamid],
Shah, M.[Mubarak],
Recognizing Complex Events Using Large Margin Joint Low-Level Event
Model,
ECCV12(IV: 430-444).
Springer DOI
1210
Video:
WWW Link.
BibRef
Miller, B.[Ben],
McCloskey, S.[Scott],
Metric Feature Indexing for Interactive Multimedia Search,
CRV16(109-115)
IEEE DOI
1612
activity recognition;indexing;machine learning
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McCloskey, S.[Scott],
Davalos, P.[Pedro],
Activity detection in the wild using video metadata,
ICPR12(3140-3143).
WWW Link.
1302
BibRef
McCloskey, S.[Scott],
Liu, J.C.[Jing-Chen],
Metadata-Weighted Score Fusion for Multimedia Event Detection,
CRV14(299-305)
IEEE DOI
1406
Bit rate
BibRef
Liu, J.C.[Jing-Chen],
McCloskey, S.[Scott],
Liu, Y.X.[Yan-Xi],
Local Expert Forest of Score Fusion for Video Event Classification,
ECCV12(V: 397-410).
Springer DOI
1210
BibRef
Castellanos, R.[Ricardo],
Kalva, H.[Hari],
Marques, O.[Oge],
Furht, B.[Borko],
Event detection in video using motion analysis,
ARTEMIS10(57-62).
DOI Link
1111
BibRef
Bohlken, W.[Wilfried],
Neumann, B.[Bernd],
Hotz, L.[Lothar],
Koopmann, P.[Patrick],
Ontology-Based Realtime Activity Monitoring Using Beam Search,
CVS11(112-121).
Springer DOI
1109
BibRef
Burlet, J.,
Aycard, O.,
Baig, Q.,
Interacting multiple models based classification of moving objects,
ICARCV10(2472-2478).
IEEE DOI
1109
Object behavior using lidar.
BibRef
Robbel, P.,
Roy, D.,
Exploiting feature dynamics for active object recognition,
ICARCV10(2102-2108).
IEEE DOI
1109
Extend invariant features to time domain.
BibRef
Lan, T.[Tian],
Chen, T.C.[Tsung-Chuan],
Savarese, S.[Silvio],
A Hierarchical Representation for Future Action Prediction,
ECCV14(III: 689-704).
Springer DOI
1408
BibRef
Liu, J.G.[Jin-Gen],
Kuipers, B.[Benjamin],
Savarese, S.[Silvio],
Recognizing human actions by attributes,
CVPR11(3337-3344).
IEEE DOI
1106
BibRef
Vyas, S.[Shruti],
Rawat, Y.S.[Yogesh S.],
Shah, M.[Mubarak],
Multi-view Action Recognition Using Cross-view Video Prediction,
ECCV20(XXVII:427-444).
Springer DOI
2011
BibRef
Liu, J.G.[Jin-Gen],
Shah, M.[Mubarak],
Kuipers, B.[Benjamin],
Savarese, S.[Silvio],
Cross-view action recognition via view knowledge transfer,
CVPR11(3209-3216).
IEEE DOI
1106
BibRef
Park, D.J.[Dong-Jun],
Eichmann, D.[David],
Video Event Detection as Matching of Spatiotemporal Projection,
ISVC10(III: 139-150).
Springer DOI
1011
BibRef
Yildirim, Y.[Yakup],
Yilmaz, T.[Turgay],
Yazici, A.[Adnan],
Ontology-supported object and event extraction with a genetic
algorithms approach for object classification,
CIVR07(202-209).
DOI Link
0707
BibRef
Tahayna, B.[Bashar],
Belkhatir, M.[Mohammed],
Alhashmi, S.M.[Saadat M.],
O'Daniel, T.[Thomas],
Optimizing support vector machine based classification and retrieval of
semantic video events with genetic algorithms,
ICIP10(1485-1488).
IEEE DOI
1009
BibRef
And:
Motion data-driven model for semantic events classification using an
optimized support vector machine,
CIVR10(296-302).
DOI Link
1007
BibRef
Dag, N.[Nilgun],
Atil, I.[Ilkay],
Kalkan, S.[Sinan],
Sahin, E.[Erol],
Learning Affordances for Categorizing Objects and Their Properties,
ICPR10(3089-3092).
IEEE DOI
1008
Perceptual properties from interactions of object in environment.
BibRef
Weinland, D.[Daniel],
Özuysal, M.[Mustafa],
Fua, P.[Pascal],
Making Action Recognition Robust to Occlusions and Viewpoint Changes,
ECCV10(III: 635-648).
Springer DOI
1009
BibRef
Fan, H.C.[Hong-Chao],
Liu, L.[Lu],
Meng, L.Q.[Li-Qiu],
A mathematic model for event detection in spatiotemporal city
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CityModels09(xx-yy).
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0912
BibRef
Noguchi, A.[Akitsugu],
Yanai, K.[Keiji],
Extracting Spatio-Temporal Local Features Considering Consecutiveness
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ACCV09(II: 458-467).
Springer DOI
0909
Based on SURF detector. For activity recognition.
See also Speeded-Up Robust Features (SURF).
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Trajectory Analysis for Events, Actions .