16.7.4.6.4 Human Activity Recognition, Human Behaviors

Chapter Contents (Back)
Activity Recognition. Generally more an extended activity rather than a basic action. See also Human Action Detection, Human Action Recognition. See also Models, Inference, Learning Human Activities, Human Behavior.

Stauffer, C.[Chris], Grimson, W.E.L.[W. Eric L.],
Learning Patterns of Activity Using Real-Time Tracking,
PAMI(22), No. 8, August 2000, pp. 747-757.
IEEE DOI Link 0010
Using the 24 hour data from tracking motion, learn the different patterns, especially to see things that don't fit. Motion segmentation uses adaptive background subtraction with an updated model. Objects are not recognized, but identity is maintained throught the track. BibRef

Stauffer, C.[Chris],
Automated Audio-visual Activity Analysis,
CSAIL-2005-057, September 2005.
WWW Version. BibRef 0509

Gong, S.G.[Shao-Gang], Ng, J.[Jeffrey], Sherrah, J.[Jamie],
On the semantics of visual behaviour, structured events and trajectories of human action,
IVC(20), No. 12, October 2002, pp. 873-888.
WWW Version. 0210
BibRef

Ng, J., Gong, S.G.[Shao-Gang],
On the binding mechanism of synchronised visual events,
Motion02(112-117).
IEEE Abstract. 0303
BibRef

Robertson, N.M.[Neil M.], Reid, I.D.[Ian D.],
A general method for human activity recognition in video,
CVIU(103), No. 2-3, November-December 2006, pp. 232-248.
WWW Version. 0611
BibRef
Earlier:
Behaviour Understanding in Video: A Combined Method,
ICCV05(I: 808-815).
IEEE DOI Link 0510
Visual surveillance; Human activity recognition; Video annotation BibRef

Robertson, N.M.[Neil M.], Reid, I.D.[Ian D.],
Automatic Reasoning about Causal Events in Surveillance Video,
JIVP(2011), No. 2011, pp. xx-yy.
WWW Version. 1103
BibRef

Hsieh, J.W.[Jun-Wei], Hsu, Y.T.[Yung-Tai],
Boosted string representation and its application to video surveillance,
PR(41), No. 10, October 2008, pp. 3078-3091.
WWW Version. 0808
Behavior analysis; Centroid contexts; String matching; Boosting algorithm BibRef

Lin, W., Sun, M.T., Poovendran, R., Zhang, Z.,
Activity Recognition Using a Combination of Category Components and Local Models for Video Surveillance,
CirSysVideo(18), No. 8, August 2008, pp. 1128-1139.
IEEE DOI Link 0809
See also Group Event Detection With a Varying Number of Group Members for Video Surveillance. BibRef

Zhou, J.[Jian], Zhang, X.P.[Xiao-Ping],
An ICA Mixture Hidden Markov Model for Video Content Analysis,
CirSysVideo(18), No. 11, November 2008, pp. 1576-1586.
IEEE DOI Link 0811
BibRef
Earlier:
Video Event Detection using ICA Mixture Hidden Markov Models,
ICIP06(3005-3008).
IEEE DOI Link 0610
BibRef

Shen, J., Tao, D., Li, X.,
Modality Mixture Projections for Semantic Video Event Detection,
CirSysVideo(18), No. 11, November 2008, pp. 1587-1596.
IEEE DOI Link 0811
BibRef

Duong, T.V.[Thi V.], Phung, D.Q.[Dinh Q.], Bui, H.H.[Hung H.], Venkatesh, S.[Svetha],
Efficient duration and hierarchical modeling for human activity recognition,
AI(173), No. 7-8, May 2009, pp. 830-856.
Elsevier DOI Link
WWW Version. 0904
Duration modeling; Coxian; Hidden semi-Markov model; Human activity recognition; Smart surveillance BibRef

Kim, Y., Ling, H.,
Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine,
GeoRS(47), No. 5, May 2009, pp. 1328-1337.
IEEE DOI Link 0904
BibRef

Gupta, A.[Abhinav], Kembhavi, A.[Aniruddha], Davis, L.S.[Larry S.],
Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition,
PAMI(31), No. 10, October 2009, pp. 1775-1789.
IEEE DOI Link 0909
Understand events, recognize motions, recognize the objects. Apply constraints to reduce computation. BibRef

Qian, H.M.[Hui-Min], Mao, Y.B.[Yao-Bin], Xiang, W.B.[Wen-Bo], Wang, Z.Q.[Zhi-Quan],
Recognition of human activities using SVM multi-class classifier,
PRL(31), No. 2, 15 January 2010, pp. 100-111.
Elsevier DOI Link
WWW Version. 1001
Human activity recognition; Background subtraction; CCMEI; Support vector machine; Decision tree classifier BibRef

Filipovych, R.[Roman], Ribeiro, E.[Eraldo],
Robust sequence alignment for actor-object interaction recognition: Discovering actor-object states,
CVIU(115), No. 2, February 2011, pp. 177-193.
Elsevier DOI Link
WWW Version. 1102
BibRef
Earlier:
Recognizing primitive interactions by exploring actor-object states,
CVPR08(1-7).
IEEE DOI Link 0806
Activity analysis; Human-object interaction; Sequence matching; Dynamic programming BibRef

Filipovych, R.[Roman], Ribeiro, E.[Eraldo],
Learning Structural Models in Multiple Projection Spaces,
ICIAR09(616-626).
Springer DOI Link 0907
BibRef
Earlier:
Learning human motion models from unsegmented videos,
CVPR08(1-7).
IEEE DOI Link 0806
BibRef
Earlier:
Combining Models of Pose and Dynamics for Human Motion Recognition,
ISVC07(II: 21-32).
Springer DOI Link 0711
BibRef
And:
Learning Repetitive Patterns for Classifying Non-Rigidly Deforming Texture Surfaces,
CIAP07(49-54).
IEEE DOI Link 0709
BibRef
And:
Learning Basic Patterns from Repetitive Texture Surfaces Under Non-rigid Deformations,
ICIAR07(81-92).
Springer DOI Link 0708
BibRef

Filipovych, R.[Roman], Ribeiro, E.[Eraldo],
Adaptive Tuboid Shapes for Action Recognition,
ISVC09(II: 367-376).
Springer DOI Link 0911
BibRef

Filipovych, R.[Roman], Ribeiro, E.[Eraldo],
Determining the scale of interest regions in videos,
ICIP09(985-988).
IEEE DOI Link 0911
BibRef

Benabbas, Y.[Yassine], Ihaddadene, N.[Nacim], Djeraba, C.[Chaabane],
Motion Pattern Extraction and Event Detection for Automatic Visual Surveillance,
JIVP(2011), No. 2011, pp. xx-yy.
WWW Version. 1103
BibRef

Benabbas, Y.[Yassine], Lablack, A.[Adel], Ihaddadene, N.[Nacim], Djeraba, C.[Chabane],
Action Recognition Using Direction Models of Motion,
ICPR10(4295-4298).
IEEE DOI Link 1008
BibRef

Siirtola, P.[Pekka], Koskimäki, H.[Heli], Huikari, V.[Ville], Laurinen, P.[Perttu], Röning, J.[Juha],
Improving the classification accuracy of streaming data using SAX similarity features,
PRL(32), No. 13, 1 October 2011, pp. 1659-1668.
Elsevier DOI Link
WWW Version. 1109
Activity recognition; Classification; Symbolic dynamics; SAX BibRef

Hospedales, T.M.[Timothy M.], Li, J.[Jian], Gong, S.G.[Shao-Gang], Xiang, T.[Tao],
Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model,
PAMI(33), No. 12, December 2011, pp. 2451-2464.
IEEE DOI Link 1110
Identify rare event, e.g. dangerous or illegal activities have few prior examples. BibRef

Bregonzio, M.[Matteo], Li, J.[Jian], Gong, S.G.[Shao-Gang], Xiang, T.[Tao],
Discriminative Topics Modelling for Action Feature Selection and Recognition,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Bregonzio, M.[Matteo], Gong, S.G.[Shao-Gang], Xiang, T.[Tao],
Recognising action as clouds of space-time interest points,
CVPR09(1948-1955).
IEEE DOI Link 0906
BibRef

Ferrari, L.[Laura], Mamei, M.[Marco],
Discovering City Dynamics through Sports Tracking Applications,
Computer(44), No. 12, December 2011, pp. 63-68.
IEEE DOI Link 1112
Tracking data from the phone directly. BibRef

Iosifidis, A.[Alexandros], Tefas, A.[Anastasios], Nikolaidis, N.[Nikolaos], Pitas, I.[Ioannis],
Multi-View Human Movement Recognition Based on Fuzzy Distances and Linear Discriminant Analysis,
CVIU(116), No. 3, March 2012, pp. 347-360.
Elsevier DOI Link
WWW Version. 1201
Activity recognition; Multi-view dynemes; Fuzzy vector quantization; Linear discriminant analysis See also Combining Fuzzy Vector Quantization With Linear Discriminant Analysis for Continuous Human Movement Recognition. BibRef


Hassan, E.[Ehtesham], Chaudhury, S.[Santanu], Gopal, M, Garg, V.[Vikram],
A hybrid framework for event detection using multi-modal features,
VECTaR11(1510-1515).
IEEE DOI Link 1201
See also Annotating Dance Posture Images Using Multi Kernel Feature Combination. BibRef

Wang, J.[Jing], Xu, Z.J.[Zhi-Jie],
Video event detection based on over-segmented STV regions,
VECTaR11(1464-1471).
IEEE DOI Link 1201
BibRef

Khan, M.U.G.[Muhammad Usman Ghani], Zhang, L.[Lei], Gotoh, Y.[Yoshihiko],
Human Focused Video Description,
VECTaR11(1480-1487).
IEEE DOI Link 1201
BibRef

Zhang, J.[Jiangen], Hu, W.Z.[Wen-Ze], Yao, B.[Benjamin], Wang, Y.T.[Yong-Tian], Zhu, S.C.[Song-Chun],
Inferring social roles in long timespan video sequence,
VECTaR11(1456-1463).
IEEE DOI Link 1201
BibRef

Matsugu, M.[Masakazu], Yamanaka, M.[Masao], Sugiyama, M.[Masashi],
Detection of activities and events without explicit categorization,
VECTaR11(1532-1539).
IEEE DOI Link 1201
BibRef

Kaloskampis, I.[Ioannis], Hicks, Y.A.[Yulia A.], Marshall, D.[David],
Automatic analysis of composite activities in video sequences using Key Action Discovery and hierarchical graphical models,
ARTEMIS11(890-897).
IEEE DOI Link 1201
BibRef

Malgireddy, M.R.[Manavender R.], Nwogu, I.[Ifeoma], Govindaraju, V.[Venu],
A generative framework to investigate the underlying patterns in human activities,
VECTaR11(1472-1479).
IEEE DOI Link 1201
BibRef

Boltes, M.[Maik], Zhang, J.[Jun], Seyfried, A.[Armin], Steffen, B.[Bernhard],
T-junction: Experiments, trajectory collection, and analysis,
MSVALC11(158-165).
IEEE DOI Link 1201
Pedestrian behavior at T-junctions. BibRef

Shariat, S.[Shahriar], Pavlovic, V.[Vladimir],
Isotonic CCA for sequence alignment and activity recognition,
ICCV11(2572-2578).
IEEE DOI Link 1201
BibRef

Ding, L.[Lei], Yilmaz, A.[Alper],
Inferring social relations from visual concepts,
ICCV11(699-706).
IEEE DOI Link 1201
BibRef

Brendel, W.[William], Todorovic, S.[Sinisa],
Learning spatiotemporal graphs of human activities,
ICCV11(778-785).
IEEE DOI Link 1201
BibRef
Earlier:
Activities as Time Series of Human Postures,
ECCV10(II: 721-734).
Springer DOI Link 1009
BibRef

Lan, Z.Z.[Zhen-Zhong], Bao, L.[Lei], Yu, S.I.[Shoou-I], Liu, W.[Wei], Hauptmann, A.G.[Alexander G.],
Double Fusion for Multimedia Event Detection,
MMMod12(173-185).
Springer DOI Link 1201
BibRef

Chen, Y.Z.[Yuan-Zhe], Lin, W.[Weiyao], Li, H.X.[Hong-Xiang], Luo, H.Z.[Hang-Zai], Tao, Y.[Yisi], Liu, D.H.[Dong-Hua],
A new package-group-transmission-based algorithm for human activity recognition in videos,
VCIP11(1-4).
IEEE DOI Link 1201
BibRef

Popa, M.C.[Mirela C.], Gritti, T.[Tommaso], Rothkrantz, L.J.M.[Leon J.M.], Shan, C.F.[Cai-Feng], Wiggers, P.[Pascal],
Detecting Customers' Buying Events on a Real-Life Database,
CAIP11(I: 17-25).
Springer DOI Link 1109
BibRef

Aggarwal, J.K.[Jake K.],
Recognition of Human Activities,
IWCIA11(1-4).
Springer DOI Link 1105
BibRef

Ryoo, M.S.,
Human activity prediction: Early recognition of ongoing activities from streaming videos,
ICCV11(1036-1043).
IEEE DOI Link 1201
BibRef

Ryoo, M.S.,
Interactive learning of human activities using active video composition,
SIG11(672-679).
IEEE DOI Link 1201
BibRef

Ryoo, M.S., Yu, W.[Wonpil],
One video is sufficient? Human activity recognition using active video composition,
WMVC11(634-641).
IEEE DOI Link 1101
BibRef

Sicre, R.[Ronan], Nicolas, H.[Henri],
Human Behaviour Analysis and Event Recognition at a Point of Sale,
PSIVT10(127-132).
IEEE DOI Link 1011
BibRef
Earlier:
Human Behavior Analysis at a Point of Sale,
ISVC10(III: 635-644).
Springer DOI Link 1011
BibRef

Wang, Y.W.[Yao-Wei], Tian, Y.H.[Yong-Hong], Duan, L.Y.[Ling-Yu], Hu, Z.P.[Zhi-Peng], Jia, G.C.[Guo-Chen],
ESUR: A system for Events detection in SURveillance video,
ICIP10(2317-2320).
IEEE DOI Link 1009
BibRef

Ding, L.[Lei], Fan, Q.F.[Quan-Fu], Pankanti, S.[Sharath],
An integer programming approach to visual compliance,
ICIP10(1461-1464).
IEEE DOI Link 1009
Surveillance for business policies. BibRef

Kihl, O, Tremblais, B, Augereau, B, Khoudeir, M,
Human activities discrimination with motion approximation in polynomial bases,
ICIP10(2469-2472).
IEEE DOI Link 1009
BibRef

Uddin, M.Z.[Mohammad Zia], Byun, K.M.[Kyung Min], Cho, M.H.[Min Hyoung], Lee, S.Y.[Soo Yeol], Khang, G.[Gon], Kim, T.S.[Tae-Seong],
A Spanning Tree-Based Human Activity Prediction System Using Life Logs from Depth Silhouette-Based Human Activity Recognition,
CAIP11(I: 302-309).
Springer DOI Link 1109
BibRef

Mo, H.C.[Hao-Cheng], Leou, J.J.[Jin-Jang], Lin, C.S.[Cheng-Shian],
Human Behavior Analysis Using Multiple 2D Features and Multicategory Support Vector Machine,
MVA09(46-).
PDF Version. 0905
BibRef

Sethi, R.J.[Ricky J.], Roy-Chowdhury, A.K.[Amit K.],
Individuals, groups, and crowds: Modelling complex, multi-object behaviour in phase space,
VECTaR11(1502-1509).
IEEE DOI Link 1201
BibRef
Earlier:
Physics-based activity modelling in phase space,
ICCVGIP10(170-177).
WWW Version. 1111
BibRef
And:
The human action image and its application to motion recognition,
ICCVGIP10(1-8).
WWW Version. 1111
BibRef
And:
Modeling Multi-Object Activities in Phase Space,
VECTaR10(328-337).
Springer DOI Link 1109
BibRef
And:
The Human Action Image,
ICPR10(3674-3678).
IEEE DOI Link 1008
BibRef
And:
A Neurobiologically Motivated Stochastic Method for Analysis of Human Activities in Video,
ICPR10(281-285).
IEEE DOI Link 1008
BibRef

Wang, J.[Jing], Xu, Z.J.[Zhi-Jie], O'Grady, M.[Michael],
Head Curve Matching and Graffiti Detection,
BMVCWS10(xx-yy).
HTML Version. 1009
Video surveillance, head detection for graffiti. BibRef

Sadek, S.[Samy], Al-Hamadi, A.[Ayoub], Michaelis, B.[Bernd], Sayed, U.[Usama],
Human Activity Recognition: A Scheme Using Multiple Cues,
ISVC10(II: 574-583).
Springer DOI Link 1011
BibRef

Bakheet, S.[Samy], Al-Hamadi, A.[Ayoub], Michaelis, B.[Bernd], Sayed, U.[Usama],
Toward Robust Action Retrieval in Video,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Chaudhry, R.[Rizwan], Ivanov, Y.[Yuri],
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos,
ECCV10(II: 735-748).
Springer DOI Link 1009
BibRef

Lin, D.[Dahua], Kapoor, A.[Ashish], Hua, G.[Gang], Baker, S.[Simon],
Joint People, Event, and Location Recognition in Personal Photo Collections Using Cross-Domain Context,
ECCV10(I: 243-256).
Springer DOI Link 1009
BibRef

Yin, J.[Jun], Meng, Y.[Yan],
Human activity recognition in video using a hierarchical probabilistic latent model,
CVPR4HB10(15-20).
IEEE DOI Link 1006
BibRef

Khokhar, S.[Salman], Saleemi, I.[Imran], Shah, M.[Mubarak],
Similarity invariant classification of events by KL divergence minimization,
ICCV11(1903-1910).
IEEE DOI Link 1201
Events from location and flow. BibRef

Saleemi, I.[Imran], Hartung, L.[Lance], Shah, M.[Mubarak],
Scene understanding by statistical modeling of motion patterns,
CVPR10(2069-2076).
IEEE DOI Link 1006
Motion patterns from static camera. Patterns in Optical flow. BibRef

Prabhakar, K.[Karthir], Oh, S.M.[Sang-Min], Wang, P.[Ping], Abowd, G.D.[Gregory D.], Rehg, J.M.[James M.],
Temporal causality for the analysis of visual events,
CVPR10(1967-1974).
IEEE DOI Link 1006
BibRef

Oh, S.M.[Sang-Min], Hoogs, A.[Anthony],
Unsupervised Learning of Activities in Video Using Scene Context,
ICPR10(3579-3582).
IEEE DOI Link 1008
BibRef

Oh, S.M.[Sang-Min], Hoogs, A.[Anthony], Turek, M.W.[Matthew W.], Collins, R.[Roderic],
Content-Based Retrieval of Functional Objects in Video Using Scene Context,
ECCV10(I: 549-562).
Springer DOI Link 1009
BibRef

Turek, M.W.[Matthew W.], Hoogs, A.[Anthony], Collins, R.[Roderic],
Unsupervised Learning of Functional Categories in Video Scenes,
ECCV10(II: 664-677).
Springer DOI Link 1009
BibRef

Kaufhold, J.[John], Collins, R.[Roderic], Hoogs, A.[Anthony], Rondot, P.[Pascale],
Recognition and Segmentation of Scene Content using Region-Based Classification,
ICPR06(I: 755-760).
IEEE DOI Link 0609
BibRef

Fernández-Caballero, A.[Antonio], Castillo, J.C.[José Carlos], Rodríguez-Sánchez, J.M.[José María],
A Proposal for Local and Global Human Activities Identification,
AMDO10(78-87).
Springer DOI Link 1007
BibRef

Liu, Y.[Yang], Li, X.[Xi], Hu, W.M.[Wei-Ming],
Semi-supervised Trajectory Learning Using a Multi-Scale Key Point Based Trajectory Representation,
ICPR10(3525-3528).
IEEE DOI Link 1008
BibRef

Zhao, H.Y.[Hai-Yong], Liu, Z.J.[Zhi-Jing],
Shape-Based Human Activity Recognition Using Edit Distance,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Cilla, R.[Rodrigo], Patricio, M.A.[Miguel A.], Berlanga, A.[Antonio], Molina, J.M.[José M.],
Creating Human Activity Recognition Systems Using Pareto-based Multiobjective Optimization,
AVSBS09(37-42).
IEEE DOI Link 0909
BibRef

Sundaram, S.[Sudeep], Mayol-Cuevas, W.W.[Walterio W.],
Egocentric Visual Event Classification with Location-Based Priors,
ISVC10(II: 596-605).
Springer DOI Link 1011
BibRef

Sundaram, S.[Sudeep], Mayol-Cuevas, W.W.[Walterio W.],
High level activity recognition using low resolution wearable vision,
Egocentric09(25-32).
IEEE DOI Link 0906
BibRef

Spriggs, E.H.[Ekaterina H.], de la Torre, F.[Fernando], Hebert, M.[Martial],
Temporal segmentation and activity classification from first-person sensing,
Egocentric09(17-24).
IEEE DOI Link 0906
BibRef

Chuang, J.H.[Jen-Hui], Lee, C.W.[Chun-Wei], Lo, K.H.[Kuo-Hua],
Human activity analysis based on a torso-less representation,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Morris, B.T.[Brendan T.], Trivedi, M.M.[Mohan M.],
An adaptive scene description for activity analysis in surveillance video,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Zhao, Z.P.[Zhi-Peng], Elgammal, A.M.[Ahmed M.],
Human activity recognition from frame's spatiotemporal representation,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Herrera, A., Beck, A., Bell, D., Miller, P., Wu, Q., Yan, W.,
Behaviour Analysis and Prediction in Image Sequences Using Rough Sets,
IMVIP08(71-76).
IEEE DOI Link 0809
BibRef

Jain, V.[Vidit], Singhal, A.[Amit], Luo, J.B.[Jie-Bo],
Selective hidden random fields: Exploiting domain-specific saliency for event classification,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Seo, Y., and Sycara, K.,
Combining multiple hypotheses for identifying human activities,
CMU-RI-TR-06-31, May, 2006.
WWW Version. BibRef 0605

Colombo, C.[Carlo], Comanducci, D.[Dario], del Bimbo, A.[Alberto],
Behavior monitoring through automatic analysis of video sequences,
CIVR07(288-293).
WWW Version. 0707
BibRef
And:
Compact representation and probabilistic classification of human actions in videos,
AVSBS07(342-346).
IEEE DOI Link 0709
BibRef

Ren, X.F.[Xiao-Feng], Philipose, M.[Matthai],
Egocentric recognition of handled objects: Benchmark and analysis,
Egocentric09(1-8).
IEEE DOI Link 0906
BibRef

Wu, J.X.[Jian-Xin], Osuntogun, A.[Adebola], Choudhury, T.[Tanzeem], Philipose, M.[Matthai], Rehg, J.M.[James M.],
A Scalable Approach to Activity Recognition based on Object Use,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Tavakkoli, A.[Alireza], Kelley, R.[Richard], King, C.[Christopher], Nicolescu, M.[Mircea], Nicolescu, M.[Monica], Bebis, G.N.[George N.],
A Visual Tracking Framework for Intent Recognition in Videos,
ISVC08(I: 450-459).
Springer DOI Link 0812
BibRef
Earlier:
A Vision-Based Architecture for Intent Recognition,
ISVC07(II: 173-182).
Springer DOI Link 0711
BibRef

Moreno, P.[Plinio], Ribeiro, P.C.[Pedro Canotilho], Santos-Victor, J.[José],
Feature Selection for Tracker-Less Human Activity Recognition,
ICIAR11(I: 152-160).
Springer DOI Link 1106
See also Feature Set Search Space for FuzzyBoost Learning. See also Improving the SIFT descriptor with smooth derivative filters. BibRef

Ribeiro, P.C.[Pedro Canotilho], Moreno, P.[Plinio], Santos-Victor, J.[José],
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition,
ISVC07(I: 464-475).
Springer DOI Link 0711
BibRef

Biswas, R.[Rahul], Thrun, S.[Sebastian], Fujimura, K.[Kikuo],
Recognizing Activities with Multiple Cues,
HUMO07(255-270).
Springer DOI Link 0710
BibRef

Ning, H.Z.[Hua-Zhong], Hu, Y.X.[Yu-Xiao], Huang, T.S.[Thomas S.],
Searching Human Behaviors using Spatial-Temporal Words,
ICIP07(VI: 337-340).
IEEE DOI Link 0709
BibRef

Thurau, C.[Christian],
Behavior Histograms for Action Recognition and Human Detection,
HUMO07(299-312).
Springer DOI Link 0710
BibRef

Thurau, C.[Christian], Hlavác, V.[Václav],
n-Grams of Action Primitives for Recognizing Human Behavior,
CAIP07(93-100).
Springer DOI Link 0708
BibRef

Laxton, B.[Benjamin], Lim, J.W.[Jong-Woo], Kriegman, D.[David],
Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef

Watanabe, K., Izumi, K., Shibayama, K., Kamohara, K.,
An Approach to Estimating Human Behaviors by Using an Active Vision Head,
ICARCV06(1-6).
IEEE DOI Link 0612
BibRef

Carter, N.L.[Nicholas L.], Young, D.[David], Ferryman, J.M.[James M.],
A Combined Bayesian Markovian Approach for Behaviour Recognition,
ICPR06(I: 761-764).
IEEE DOI Link 0609
BibRef
And:
Supplementing Markov Chains with Additional Features for Behavioural Analysis,
AVSBS06(65-65).
IEEE DOI Link 0611
BibRef

Yi, W.L.[Wei-Lie], Ballard, D.H.,
Behavior Recognition in Human Object Interactions with a Task Model,
AVSBS06(64-64).
IEEE DOI Link 0611
BibRef

Li, H.P.[He-Ping], Hu, Z.Y.[Zhan-Yi], Wu, Y.H.[Yi-Hong], Wu, F.C.[Fu-Chao],
Behavior Modeling and Recognition Based on Space-Time Image Features,
ICPR06(I: 243-246).
IEEE DOI Link 0609
BibRef

Xu, J.Y.[Jian-Yun], Sung, A.H.[Andrew H.], Liu, Q.Z.[Qing-Zhong],
Tree Based Behavior Monitoring for Adaptive Fraud Detection,
ICPR06(I: 1208-1211).
IEEE DOI Link 0609
BibRef

Tran, D.T.[Dung T.], Phung, D.Q.[Dinh Q.],
A probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment,
ICPR06(III: 168-172).
IEEE DOI Link 0609
BibRef

Ebadollahi, S.[Shahram], Xie, L.X.[Le-Xing], Abreu, A.[Andres], Podlaseck, M.[Mark], Chang, S.F.[Shih-Fu], Smith, J.R.[John R.],
Exploring the Dynamics of Visual Events in the Multi-dimensional Semantic Concept Space,
CIVR06(503-505).
Springer DOI Link 0607
BibRef

Kitani, K.M., Sato, Y., Sugimoto, A.,
Recovering the Basic Structure of Human Activities from a Video-Based Symbol String,
Motion07(9-9).
IEEE DOI Link 0702
BibRef
Earlier:
Deleted Interpolation Using a Hierarchical Bayesian Grammar Network for Recognizing Human Activity,
PETS05(239-246).
IEEE DOI Link 0602
BibRef

Zou, X.T.[Xiao-Tao], Bhanu, B.[Bir],
Human Activity Classification Based on Gait Energy Image and Coevolutionary Genetic Programming,
ICPR06(III: 556-559).
IEEE DOI Link 0609
BibRef

Zou, X.T.[Xiao-Tao], Bhanu, B.,
Tracking Humans using Multi-modal Fusion,
OTCBVS05(III: 4-4).
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Models, Inference, Learning Human Activities, Human Behavior .


Last update:May 16, 2012 at 20:31:07