17.1.2.2 Event Models, Action Models, Motion Detection for Events, Backgrounds

Chapter Contents (Back)
Event Detection.
See also Motion Detection, Analysis of Motion Detectors.

Allen, J.F.[James F.],
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CACM(26), 1983, pp. 832-842. BibRef 8300

Allen, J.F.[James F.],
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Haering, N.C.[Niels C.], da Vitoria Lobo, N.[Niels],
Visual Event Detection,
KluwerBoston, 2001. ISBN Number 0-7923-7436-3
Springer DOI Extract image descriptions to provide an internal description of the world. Process in a flat hierarchy. Deal with missing information and extra information. Buy this book: Visual Event Detection (The International Series in Video Computing) BibRef 0100

Joo, S.W.[Seong-Wook], Chellappa, R.[Rama],
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IP(16), No. 11, November 2007, pp. 2849-2854.
IEEE DOI 0709
BibRef
Earlier:
Recognition of Multi-Object Events Using Attribute Grammars,
ICIP06(2897-2900).
IEEE DOI 0610
BibRef
And:
Attribute Grammar-Based Event Recognition and Anomaly Detection,
SLAM06(107).
IEEE DOI 0609
BibRef

Green, R.,
Spatially and Temporally Segmenting Movement to Recognize Actions,
HumMotBook08(9). 0802
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Cuntoor, N.P., Yegnanarayana, B., Chellappa, R.,
Activity Modeling Using Event Probability Sequences,
IP(17), No. 4, April 2008, pp. 594-607.
IEEE DOI 0803
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Cuntoor, N.P.[Naresh P.],
Event detection using multiple event probability sequences,
ICIP09(4321-4324).
IEEE DOI 0911
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Cuntoor, N.P.[Naresh P.], Chellappa, R.[Rama],
Epitomic Representation of Human Activities,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Abdelkader, M.F.[Mohamed F.], Roy-Chowdhury, A.K.[Amit K.], Chellappa, R.[Rama], Akdemir, U.[Umut],
Activity Representation Using 3D Shape Models,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
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Abdelkader, M.F.[Mohamed F.], Abd-Almageed, W.[Wael], Srivastava, A.[Anuj], Chellappa, R.[Rama],
Silhouette-based gesture and action recognition via modeling trajectories on Riemannian shape manifolds,
CVIU(115), No. 3, March 2011, pp. 439-455.
Elsevier DOI 1103
Gesture recognition; Action recognition; Riemannian manifolds; Shape space; Silhouette-based approaches BibRef

Sankaranarayanan, A.C.[Aswin C.], Patro, R.[Robert], Turaga, P.K.[Pavan K.], Varshney, A.[Amitabh], Chellappa, R.[Rama],
Modeling and Visualization of Human Activities for Multicamera Networks,
JIVP(2009), No. 2009, pp. xx-yy.
DOI Link 0911
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Bista, S.[Sujal], Leităo da Cunha, Í.L.[Ícaro Lins], Varshney, A.[Amitabh],
Kinetic depth images: flexible generation of depth perception,
VC(33), No. 10, October 2017, pp. 1357-136.
WWW Link. 1709
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Sankaranarayanan, A.C.[Aswin C.], Turaga, P.K.[Pavan K.], Chellappa, R.[Rama], Baraniuk, R.G.[Richard G.],
Compressive Acquisition of Linear Dynamical Systems,
SIIMS(6), No. 4, 2013, pp. 2109-2133.
DOI Link 1402
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Earlier: A1, A2, A4, A3:
Compressive Acquisition of Dynamic Scenes,
ECCV10(I: 129-142).
Springer DOI 1009
BibRef

Lohit, S.[Suhas], Wang, Q.[Qiao], Turaga, P.K.[Pavan K.],
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping,
CVPR19(12418-12427).
IEEE DOI 2002
BibRef

Turaga, P.K.[Pavan K.], Chellappa, R.[Rama],
Locally time-invariant models of human activities using trajectories on the grassmannian,
CVPR09(2435-2441).
IEEE DOI 0906
BibRef

Wang, L.[Liang], Wang, Y.Z.[Yi-Zhou], Gao, W.[Wen],
Mining Layered Grammar Rules for Action Recognition,
IJCV(93), No. 2, June 2011, pp. 162-182.
WWW Link. 1104
BibRef

Wang, L.[Liang], Wang, Y.Z.[Yi-Zhou], Jiang, T.T.[Ting-Ting], Gao, W.[Wen],
Instantly telling what happens in a video sequence using simple features,
CVPR11(3257-3264).
IEEE DOI 1106
Recognize actions from a few frames. Use optical flow and edges. BibRef

Yu, G., Goussies, N.A., Yuan, J.S., Liu, Z.C.,
Fast Action Detection via Discriminative Random Forest Voting and Top-K Subvolume Search,
MultMed(13), No. 3, 2011, pp. 507-517.
IEEE DOI 1106
Find all action instances BibRef

Yu, G.[Gang], Yuan, J.S.[Jun-Song],
Fast action proposals for human action detection and search,
CVPR15(1302-1311)
IEEE DOI 1510
BibRef

Yu, G.[Gang], Yuan, J.S.[Jun-Song], Liu, Z.C.[Zi-Cheng],
Action Search by Example Using Randomized Visual Vocabularies,
IP(22), No. 1, January 2013, pp. 377-390.
IEEE DOI 1301

See also Human Action Recognition with Depth Cameras. BibRef
Earlier:
Unsupervised random forest indexing for fast action search,
CVPR11(865-872).
IEEE DOI 1106
BibRef

Zhang, L., Zeng, Z.[Zhi], Ji, Q.A.[Qi-Ang],
Probabilistic Image Modeling With an Extended Chain Graph for Human Activity Recognition and Image Segmentation,
IP(20), No. 9, September 2011, pp. 2401-2413.
IEEE DOI 1109
BibRef

Wang, X.Y.[Xiao-Yang], Ji, Q.A.[Qi-Ang],
Hierarchical Context Modeling for Video Event Recognition,
PAMI(39), No. 9, September 2017, pp. 1770-1782.
IEEE DOI 1708
BibRef
Earlier:
Video event recognition with deep hierarchical context model,
CVPR15(4418-4427)
IEEE DOI 1510
BibRef
Earlier:
A Hierarchical Context Model for Event Recognition in Surveillance Video,
CVPR14(2561-2568)
IEEE DOI 1409
BibRef
And:
A novel probabilistic approach utilizing clip attribute as hidden knowledge for event recognition,
ICPR12(3382-3385).
WWW Link. 1302
Context, Context modeling, Hidden Markov models, Image recognition, Semantics, Target recognition, Hierarchical context model, event recognition, image context, priming context, semantic, context BibRef

Wang, X.Y.[Xiao-Yang], Ji, Q.A.[Qi-Ang],
Context augmented Dynamic Bayesian Networks for event recognition,
PRL(43), No. 1, 2014, pp. 62-70.
Elsevier DOI 1404
BibRef
Earlier:
Incorporating contextual knowledge to Dynamic Bayesian Networks for event recognition,
ICPR12(3378-3381).
WWW Link. 1302
Award, ICPR. BibRef
And:
Learning dynamic Bayesian network discriminatively for human activity recognition,
ICPR12(3553-3556).
WWW Link. 1302
Context model BibRef

Nie, S.Q.[Si-Qi], Ji, Q.A.[Qi-Ang],
Capturing Global and Local Dynamics for Human Action Recognition,
ICPR14(1946-1951)
IEEE DOI 1412
Computational modeling BibRef

Zeng, Z.[Zhi], Ji, Q.A.[Qi-Ang],
Knowledge Based Activity Recognition with Dynamic Bayesian Network,
ECCV10(VI: 532-546).
Springer DOI 1009
BibRef

Merler, M., Huang, B., Xie, L.X., Hua, G., Natsev, A.P.,
Semantic Model Vectors for Complex Video Event Recognition,
MultMed(14), No. 1, January 2012, pp. 88-101.
IEEE DOI 1201
BibRef

Hospedales, T.M.[Timothy M.], Gong, S.G.[Shao-Gang], Xiang, T.[Tao],
Video Behaviour Mining Using a Dynamic Topic Model,
IJCV(98), No. 3, July 2012, pp. 303-323.
WWW Link. 1202
BibRef
Earlier:
A Markov Clustering Topic Model for Mining Behaviour in Video,
ICCV09(1165-1172).
IEEE DOI 0909
BibRef

Wang, H.R.[Hao-Ran], Yuan, C.F.[Chun-Feng], Hu, W.M.[Wei-Ming], Sun, C.Y.[Chang-Yin],
Supervised class-specific dictionary learning for sparse modeling in action recognition,
PR(45), No. 11, November 2012, pp. 3902-3911.
Elsevier DOI 1206
Compound feature; Motion segment; Sparse model; Supervised dictionary learning; Action recognition BibRef

Wang, H.R.[Hao-Ran], Yuan, C.F.[Chun-Feng], Luo, G.[Guan], Hu, W.M.[Wei-Ming], Sun, C.Y.[Chang-Yin],
Action recognition using linear dynamic systems,
PR(46), No. 6, June 2013, pp. 1710-1718.
Elsevier DOI 1302
Linear dynamic system; Kernel principal angle; Multiclass spectral clustering; Supervised codebook pruning; Action recognition BibRef

Wu, B.X.[Bao-Xin], Yuan, C.F.[Chun-Feng], Hu, W.M.[Wei-Ming],
Human Action Recognition Based on Context-Dependent Graph Kernels,
CVPR14(2609-2616)
IEEE DOI 1409
Human action recognition BibRef

Hu, W.M.[Wei-Ming], Wu, B.X.[Bao-Xin], Wang, P., Yuan, C.F.[Chun-Feng], Li, Y., Maybank, S.J.[Stephen J.],
Context-Dependent Random Walk Graph Kernels and Tree Pattern Graph Matching Kernels With Applications to Action Recognition,
IP(27), No. 10, October 2018, pp. 5060-5075.
IEEE DOI 1808
feature extraction, image matching, learning (artificial intelligence), quadratic programming, tree patterns BibRef

Yuan, C.F.[Chun-Feng], Wu, B.X.[Bao-Xin], Li, X.[Xi], Hu, W.M.[Wei-Ming], Maybank, S.J.[Stephen J.], Wang, F.S.[Fang-Shi],
Fusing R Features and Local Features with Context-Aware Kernels for Action Recognition,
IJCV(118), No. 2, June 2016, pp. 151-171.
Springer DOI 1606
BibRef

Wu, B.X.[Bao-Xin], Yang, S.[Shuang], Yuan, C.F.[Chun-Feng], Hu, W.M.[Wei-Ming], Wang, F.S.[Fang-Shi],
Human Action Recognition Based on Oriented Motion Salient Regions,
Gait14(I: 113-128).
Springer DOI 1504
BibRef

Zhu, P.F.[Peng-Fei], Hu, W.M.[Wei-Ming], Yuan, C.F.[Chun-Feng], Li, L.[Li],
Prototype Learning Using Metric Learning Based Behavior Recognition,
ICPR10(2604-2607).
IEEE DOI 1008
BibRef

Yang, S.[Shuang], Yuan, C.F.[Chun-Feng], Hu, W.M.[Wei-Ming], Ding, X.M.[Xin-Miao],
A Hierarchical Model Based on Latent Dirichlet Allocation for Action Recognition,
ICPR14(2613-2618)
IEEE DOI 1412
Accuracy BibRef

Yuan, C.F.[Chun-Feng], Hu, W.M.[Wei-Ming], Tian, G.D.[Guo-Dong], Yang, S.[Shuang], Wang, H.R.[Hao-Ran],
Multi-task Sparse Learning with Beta Process Prior for Action Recognition,
CVPR13(423-429)
IEEE DOI 1309
BibRef

Yuan, C.F.[Chun-Feng], Li, X.[Xi], Hu, W.M.[Wei-Ming], Wang, H.Z.[Han-Zi],
Human Action Recognition Using Pyramid Vocabulary Tree,
ACCV09(III: 527-537).
Springer DOI 0909
BibRef

Guo, K.[Kai], Ishwar, P.[Prakash], Konrad, J.[Janusz],
Action Recognition From Video Using Feature Covariance Matrices,
IP(22), No. 6, 2013, pp. 2479-2494.
IEEE DOI 1307
BibRef
Earlier:
Action Recognition in Video by Sparse Representation on Covariance Manifolds of Silhouette Tunnels,
ICPR-Contests10(294-305).
Springer DOI 1008
BibRef
And:
Action Recognition Using Sparse Representation on Covariance Manifolds of Optical Flow,
AVSS10(188-195).
IEEE DOI 1009
image recognition; supervised learning methods; Action recognition; nearest-neighbor (NN) classifier; optical flow BibRef

Chen, J.W.[Jia-Wei], Wu, Q.M.J.[Q.M. Jonathan], Konrad, J.[Janusz], Ishwar, P.[Prakash],
Semi-Coupled Two-Stream Fusion ConvNets for Action Recognition at Extremely Low Resolutions,
WACV17(139-147)
IEEE DOI 1609
Context, Fuses, Image resolution, Optical imaging, Testing, Training, Videos BibRef

Goudelis, G.[Georgios], Karpouzis, K.[Konstantinos], Kollias, S.[Stefanos],
Exploring trace transform for robust human action recognition,
PR(46), No. 12, 2013, pp. 3238-3248.
Elsevier DOI 1308
Human action recognition BibRef

Tzouvaras, V., Tsechpenakis, G., Stamou, G., Kollias, S.,
Adaptive rule-based recognition of events in video sequences,
ICIP03(II: 607-610).
IEEE DOI 0312
BibRef

Nguyen, T.P.[Thanh Phuong], Manzanera, A.[Antoine],
Motion Trend Patterns for Action Modelling and Recognition,
CAIP13(360-367).
Springer DOI 1308
trajectory from dense point tracking and Local Binary Patterns. BibRef

Agustí, P.[Pau], Traver, V.J.[V. Javier], Pla, F.[Filiberto],
Bag-of-words with aggregated temporal pair-wise word co-occurrence for human action recognition,
PRL(49), No. 1, 2014, pp. 224-230.
Elsevier DOI 1410
BibRef
Earlier:
Characterizing Actions with Local Descriptors Based on Kinematics and Flow Recurrences,
IbPRIA13(322-329).
Springer DOI 1307
Bag-of-words BibRef

Agustí, P.[Pau], Traver, V.J.[V. Javier], Marin-Jimenez, M.J.[Manuel J.], Pla, F.[Filiberto],
Exploring Alternative Spatial and Temporal Dense Representations for Action Recognition,
CAIP11(II: 364-371).
Springer DOI 1109
BibRef

Bloom, V.[Victoria], Argyriou, V.[Vasileios], Makris, D.[Dimitrios],
Hierarchical transfer learning for online recognition of compound actions,
CVIU(144), No. 1, 2016, pp. 62-72.
Elsevier DOI 1604
Online action recognition BibRef
Earlier: A1, A3, A2:
Clustered Spatio-temporal Manifolds for Online Action Recognition,
ICPR14(3963-3968)
IEEE DOI 1412
Accuracy BibRef

Kotsia, I.[Irene], Argyriou, V.[Vasileios],
Action spotting exploiting the frequency domain,
CVCG11(43-48).
IEEE DOI 1106
BibRef

Rodriguez, M.[Mario], Orrite, C.[Carlos], Medrano, C.[Carlos], Makris, D.[Dimitrios],
A Time Flexible Kernel framework for video-based activity recognition,
IVC(48-49), No. 1, 2016, pp. 26-36.
Elsevier DOI 1604
Activity recognition BibRef

Rodriguez, M.[Mario], Orrite-Urunuela, C.[Carlos], Medrano, C.[Carlos], Makris, D.[Dimitrios],
One-Shot Learning of Human Activity With an MAP Adapted GMM and Simplex-HMM,
Cyber(47), No. 7, July 2017, pp. 1769-1780.
IEEE DOI 1706
BibRef
And:
Fast Simplex-HMM for One-Shot Learning Activity Recognition,
ActionCh17(1259-1266)
IEEE DOI 1709
Activity recognition, Feature extraction, Mathematical model. Adaptation models, Encoding, Feature extraction, Hidden Markov models, Training, Videos, Vocabulary, Activity recognition, hidden Markov model (HMM), maximum a posteriori (MAP) adaptation, soft-assignment, transfer, learning BibRef

Rodriguez, M.[Mario], Orrite, C.[Carlos], Medrano, C.[Carlos],
Space-Time Flexible Kernel for Recognizing Activities from Wearable Cameras,
IbPRIA17(511-518).
Springer DOI 1706
BibRef

Bilen, H.[Hakan], Fernando, B.[Basura], Gavves, E.[Efstratios], Vedaldi, A.[Andrea],
Action Recognition with Dynamic Image Networks,
PAMI(40), No. 12, December 2018, pp. 2799-2813.
IEEE DOI 1811
Convolutional neural networks, Neural networks, Video sequences, Optical imaging, Streaming media, Image classification, convolutional neural networks BibRef

Fernando, B.[Basura], Chet, C.T.Y.[C. T. Yin], Bilen, H.[Hakan],
Weakly Supervised Gaussian Networks for Action Detection,
WACV20(526-535)
IEEE DOI 2006
Videos, Training, Predictive models, Benchmark testing, Task analysis, Neural networks, Image segmentation BibRef

Bilen, H.[Hakan], Fernando, B.[Basura], Gavves, E.[Efstratios], Vedaldi, A.[Andrea], Gould, S.[Stephen],
Dynamic Image Networks for Action Recognition,
CVPR16(3034-3042)
IEEE DOI 1612
BibRef

Shi, Y.[Yuge], Fernando, B.[Basura], Hartley, R.I.[Richard I.],
Action Anticipation with RBF Kernelized Feature Mapping RNN,
ECCV18(X: 305-322).
Springer DOI 1810
BibRef

Fernando, B.[Basura], Shirazi, S., Gould, S.[Stephen],
Unsupervised Human Action Detection by Action Matching,
MotionRep17(1604-1612)
IEEE DOI 1709
Encoding, Feature extraction, Video sequences, Videos BibRef

Guo, D.S.[Da-Shan], Li, W.[Wei], Fang, X.Z.[Xiang-Zhong],
Fully Convolutional Network for Multiscale Temporal Action Proposals,
MultMed(20), No. 12, December 2018, pp. 3428-3438.
IEEE DOI 1812
feature extraction, feedforward neural nets, gesture recognition, image motion analysis, image retrieval, image segmentation, duration regression BibRef

Zhu, Y.S.[Yi-Sheng], Liu, G.C.[Guang-Can],
Fine-grained action recognition using multi-view attentions,
VC(36), No. 9, September 2020, pp. 1771-1781.
Springer DOI 2008
Inflated 3D ConvNet. Add multi-view attention to look for details. BibRef


Mirzazadeh, A.[Ali], Dubost, F.[Florian], Pike, M.[Maxwell], Maniar, K.[Krish], Zuo, M.[Max], Lee-Messer, C.[Christopher], Rubin, D.[Daniel],
ATCON: Attention Consistency for Vision Models,
WACV23(1880-1889)
IEEE DOI 2302
Training, Backpropagation, Codes, Hospitals, Event detection, Computational modeling, Social good BibRef

Wang, X.L.[Xiao-Long], Farhadi, A.[Ali], Gupta, A.[Abhinav],
Actions ~ Transformations,
CVPR16(2658-2667)
IEEE DOI 1612
Action as transformation on high-level feature space. BibRef

Nagel, M.[Markus], Mensink, T.[Thomas], Snoek, C.G.M.[Cees G. M.],
Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Tran, T.H.[Thanh-Hai], Nguyen, V.T.[Van-Toi],
How Good Is Kernel Descriptor on Depth Motion Map for Action Recognition,
CVS15(137-146).
Springer DOI 1507
BibRef

Liang, Z.L.[Zhuo-Lin], Inoue, N.[Nakamasa], Shinoda, K.[Koichi],
Event Detection by Velocity Pyramid,
MMMod14(I: 353-364).
Springer DOI 1405
BibRef

Wang, Y.[Yuwang], Wang, B.Y.[Bao-Yuan], Yu, Y.Z.[Yi-Zhou], Dai, Q.H.[Qiong-Hai], Tu, Z.W.[Zhuo-Wen],
Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity,
ACCV14(V: 259-274).
Springer DOI 1504
BibRef

Zhu, J.[Jun], Wang, B.Y.[Bao-Yuan], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun], Tu, Z.W.[Zhuo-Wen],
Action Recognition with Actons,
ICCV13(3559-3566)
IEEE DOI 1403
BibRef

Vahdat, A.[Arash], Cannons, K.[Kevin], Mori, G.[Greg], Oh, S.[Sangmin], Kim, I.[Ilseo],
Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach,
ICCV13(1185-1192)
IEEE DOI 1403
BibRef

Sakla, W.,
Action classification in polarimetric infrared imagery via diffusion maps,
AIPR12(1-8)
IEEE DOI 1307
data reduction BibRef

Israel, S.A.,
Toward a common lexicon for exploiting activity data,
AIPR12(1-6)
IEEE DOI 1307
pattern recognition BibRef

Natarajan, P.[Pradeep], Wu, S.[Shuang], Vitaladevuni, S.[Shiv], Zhuang, X.D.[Xiao-Dan], Park, U.S.[Un-Sang], Prasad, R.[Rohit], Natarajan, P.[Premkumar],
Multi-channel Shape-Flow Kernel Descriptors for Robust Video Event Detection and Retrieval,
ECCV12(II: 301-314).
Springer DOI 1210
BibRef

Ar, I.[Ilktan], Akgul, Y.S.[Yusuf Sinan],
A Framework for Combined Recognition of Actions and Objects,
ICCVG12(264-271).
Springer DOI 1210
BibRef

Zhou, Q.A.[Qi-Ang], Wang, G.[Gang],
Atomic Action Features: A New Feature for Action Recognition,
VECTaR12(I: 291-300).
Springer DOI 1210
BibRef

Jagadeesh, V.[Vignesh], Manjunath, B.S., Anderson, J.[James], Jones, B.[Bryan], Marc, R.[Robert], Fisher, S.K.[Steven K.],
Online parameter estimation in dynamic Markov Random Fields for image sequence analysis,
ICIP12(301-304).
IEEE DOI 1302
BibRef

Jagadeesh, V.[Vignesh], Karthikeyan, S., Manjunath, B.S.,
Spatio-temporal optical flow statistics (STOFS) for activity classification,
ICCVGIP10(178-182).
DOI Link 1111
BibRef

Wang, Y.[Yang], Wu, L.[Lin], Huang, X.D.[Xiao-Di],
Action recognition using tri-view constraints,
AVSBS11(107-112).
IEEE DOI 1111
BibRef

Bartocci, D.[Daniele], Ferretti, M.[Marco],
Handling Complex Events in Surveillance Tasks,
CIAP11(II: 99-108).
Springer DOI 1109
BibRef

Bourdev, L.[Lubomir], Maji, S.[Subhransu], Malik, J.[Jitendra],
Describing people: A poselet-based approach to attribute classification,
ICCV11(1543-1550).
IEEE DOI 1201
BibRef
Earlier: A2, A1, A3:
Action recognition from a distributed representation of pose and appearance,
CVPR11(3177-3184).
IEEE DOI 1106
BibRef

Le, Q.V.[Quoc V.], Zou, W.Y.[Will Y.], Yeung, S.Y.[Serena Y.], Ng, A.Y.[Andrew Y.],
Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis,
CVPR11(3361-3368).
IEEE DOI 1106
BibRef

Wang, J.[Jiang], Chen, Z.Y.[Zhuo-Yuan], Wu, Y.[Ying],
Action recognition with multiscale spatio-temporal contexts,
CVPR11(3185-3192).
IEEE DOI 1106
BibRef

Kwak, S.[Suha], Han, B.H.[Bo-Hyung], Han, J.H.[Joon Hee],
Scenario-based video event recognition by constraint flow,
CVPR11(3345-3352).
IEEE DOI 1106
BibRef

Brendel, W.[William], Fern, A.[Alan], Todorovic, S.[Sinisa],
Probabilistic event logic for interval-based event recognition,
CVPR11(3329-3336).
IEEE DOI 1106
BibRef

Wang, C.H.[Chun-Hao], Wang, Y.J.[Yong-Jin], Guan, L.[Ling],
Event Detection and Recognition using Histogram of Oriented Gradients and Hidden Markov Models,
ICIAR11(I: 436-445).
Springer DOI 1106
BibRef

Matern, D.[Dierck], Condurache, A.P.[Alexandru Paul], Mertins, A.[Alfred],
Linear Prediction Based Mixture Models for Event Detection in Video Sequences,
IbPRIA11(25-32).
Springer DOI 1106
BibRef

Crispim-Junior, C.F.[Carlos Fernando], Bremond, F.[Francois],
Uncertainty Modeling Framework for Constraint-Based Elementary Scenario Detection in Vision Systems,
CVONT14(269-282).
Springer DOI 1504
BibRef

Romdhane, R.[Rim], Crispim, C.F.[Carlos Fernando], Bremond, F.[Francois], Thonnat, M.[Monique],
Activity recognition and uncertain knowledge in video scenes,
AVSS13(377-382)
IEEE DOI 1311
Bayes methods BibRef

Romdhane, R.[Rim], Boulay, B.[Bernard], Bremond, F.[Francois], Thonnat, M.[Monique],
Probabilistic Recognition of Complex Event,
CVS11(122-131).
Springer DOI 1109
BibRef
Earlier: A1, A3, A4, Only:
A Framework Dealing with Uncertainty for Complex Event Recognition,
AVSS10(392-399).
IEEE DOI 1009
BibRef

Zaidenberg, S.[Sofia], Boulay, B.[Bernard], Bremond, F.[Francois],
A Generic Framework for Video Understanding Applied to Group Behavior Recognition,
AVSS12(136-142).
IEEE DOI 1211
BibRef

Kieran, D., Yan, W.Q.[Wei-Qi],
A Framework for an Event Driven Video Surveillance System,
AVSS10(97-102).
IEEE DOI 1009
BibRef

Matsukawa, T.[Tetsu], Kurita, T.[Takio],
Action Recognition Using Three-Way Cross-Correlations Feature of Local Moton Attributes,
ICPR10(1731-1734).
IEEE DOI 1008
BibRef

Messing, R.[Ross], Pal, C.[Chris], Kautz, H.[Henry],
Activity recognition using the velocity histories of tracked keypoints,
ICCV09(104-111).
IEEE DOI 0909
BibRef

Kovacs, L.[Levente], Utasi, Á.[Ákos], Szlavik, Z.[Zoltán], Havasi, L.[László], Petras, I.[István], Sziranyi, T.[Tamás],
Digital Video Event Detector Framework for Surveillance Applications,
AVSBS09(565-570).
IEEE DOI 0909
BibRef

Mattivi, R.[Riccardo], Shao, L.[Ling],
Human Action Recognition Using LBP-TOP as Sparse Spatio-Temporal Feature Descriptor,
CAIP09(740-747).
Springer DOI 0909
Local Binary Pattern on Three Orthogonal Planes. BibRef

Hatun, K.[Kardelen], Duygulu, P.[Pinar],
Pose sentences: A new representation for action recognition using sequence of pose words,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Patron-Perez, A.[Alonso], Sommerlade, E.[Eric], Reid, I.D.[Ian D.],
Action recognition using shared motion parts,
VS08(xx-yy). 0810

See also Modelling pedestrian trajectory patterns with Gaussian processes. BibRef

Sommerlade, E.[Eric], Reid, I.D.[Ian D.],
Cooperative Surveillance of Multiple Targets using Mutual Information,
M2SFA208(xx-yy). 0810
BibRef

Tran, S.D.[Son D.], Davis, L.S.[Larry S.],
Event Modeling and Recognition Using Markov Logic Networks,
ECCV08(II: 610-623).
Springer DOI 0810
BibRef

Wang, Z.X.[Zheng-Xiang], Hu, Y.Q.[Yi-Qun], Chia, L.T.[Liang-Tien],
Image-to-Class Distance Metric Learning for Image Classification,
ECCV10(I: 706-719).
Springer DOI 1009
BibRef
And:
Multi-label learning by Image-to-Class distance for scene classification and image annotation,
CIVR10(105-112).
DOI Link 1007
BibRef
Earlier:
Learning instance-to-class distance for human action recognition,
ICIP09(3545-3548).
IEEE DOI 0911
BibRef

Zhang, Z.M.[Zi-Ming], Hu, Y.Q.[Yi-Qun], Chan, S.[Syin], Chia, L.T.[Liang-Tien],
Motion Context: A New Representation for Human Action Recognition,
ECCV08(IV: 817-829).
Springer DOI 0810
BibRef

Vitaladevuni, S.N.[Shiv N.], Natarajan, P.[Pradeep], Wu, S.[Shuang], Zhuang, X.D.[Xiao-Dan], Prasad, R.[Rohit], Natarajan, P.[Premkumar],
Scene image categorization and video event detection using Naive Bayes Nearest Neighbor,
WACV13(140-147).
IEEE DOI 1303
BibRef

Vitaladevuni, S.N.[Shiv N.], Natarajan, P.[Pradeep], Prasad, R.[Rohit], Natarajan, P.[Prem],
Efficient Orthogonal Matching Pursuit using sparse random projections for scene and video classification,
ICCV11(2312-2319).
IEEE DOI 1201
Implementation of sparse projection for video analysis BibRef

Vitaladevuni, S.N.[Shiv N.], Kellokumpu, V.[Vili], Davis, L.S.[Larry S.],
Action recognition using ballistic dynamics,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Zhai, Y.[Yun], Tian, Y.L.[Ying-Li], Hampapur, A.[Arun],
Composite Spatio-Temporal Event Detection in Multi-Camera Surveillance Networks,
M2SFA208(xx-yy). 0810
BibRef

Velipasalar, S.[Senem], Brown, L.M.[Lisa M.], Hampapur, A.[Arun],
Specifying, Interpreting and Detecting High-level, Spatio-Temporal Composite Events in Single and Multi-Camera Systems,
SLAM06(110).
IEEE DOI 0609
BibRef

Piriou, G., Bouthemy, P., Yao, J.F.[Jian-Feng],
Learned probabilistic image motion models for event detection in videos,
ICPR04(IV: 207-210).
IEEE DOI 0409
BibRef

Minnen, D.C., Wren, C.R.,
Finding temporal patterns by data decomposition,
AFGR04(608-613).
IEEE DOI 0411
BibRef

Shi, Y.F.[Yi-Fan], Bobick, A.F.[Aaron F.], Essa, I.A.[Irfan A.],
Learning Temporal Sequence Model from Partially Labeled Data,
CVPR06(II: 1631-1638).
IEEE DOI 0606
BibRef

Shi, Y.F.[Yi-Fan], Huang, Y.[Yan], Minnen, D., Bobick, A.F., Essa, I.A.,
Propagation networks for recognition of partially ordered sequential action,
CVPR04(II: 862-869).
IEEE DOI
HTML Version. Dataset, Actions. 0408

See also Georgia Tech. BibRef

Gutchess, D.[Daniel], Trajkovic, M.[Miroslav], Cohen-Solal, E.[Eric], Lyons, D.M.[Damian M.], Jain, A.K.[Anil K.],
A Background Model Initialization Algorithm for Video Surveillance,
ICCV01(I: 733-740).
IEEE DOI 0106
BibRef

Burns, J.B.[J. Brian],
Detecting independently moving objects and their interactions in georeferenced airborne video,
EventVideo01(12-19).
IEEE DOI 0106
BibRef

Marks, R.L.[Richard Lee], Burns, J.B.[John Brian],
Object tracking system using statistical modeling and geometric relationship,
US_Patent5,845,009, Dec 1, 1998
WWW Link. BibRef 9812

Marks, R.L.[Richard Lee],
Method of tracking objects with an imaging device,
US_Patent6,061,055, May 9, 2000
WWW Link. BibRef 0005

Gibbins, D., Newsam, G.N., and Brooks, M.J.,
Detecting Suspicious Background Changes in Video Surveillance of Busy Scenes,
WACV96(22-26).
IEEE DOI 9609
BibRef

Burrell, A., Papantoni, T.,
Sequential Algorithms for Detecting Changes in Acting Stochastic Processes and On-line Learning of Their Operational Parameters,
ICPR00(Vol II: 656-659).
IEEE DOI 0009
BibRef

Dawson-Howe, K.M.,
Active Surveillance Using Dynamic Background Substraction,
TRTCD-CS-96-06, August, 1996 Dept. of Computer Science, Trinity College, Dublin, Ireland. BibRef 9608

Krogh, A.,
Hidden Markov models for labeled sequences,
ICPR94(B:140-144).
IEEE DOI 9410
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Detecting Anomalies, Abnormal Event, Abnormal Behavior, or Rare Events, Rare Behaviors .


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