16.7.4.6.5 Models, Inference, Learning Human Activities, Human Behavior

Galata, A.[Aphrodite], Johnson, N.[Neil], Hogg, D.C.[David C.],
Learning Variable-Length Markov Models of Behavior,
CVIU(81), No. 3, March 2001, pp. 398-413.
WWW Version. 0001
BibRef
Earlier:
Learning Structured Behavior Models using Variable Length Markov Models,
MPeople99(xx-yy). BibRef
And:
Learning Behaviour Models of Human Activities,
BMVC99(Modelling Human Behaviour).
PDF Version. BibRef
Earlier: A2, A1, A3:
The Acquisition and Use of Interaction Behaviour Models,
CVPR98(866-871).
IEEE Abstract. BibRef

Rosales, R.[Rómer], Sclaroff, S.[Stan],
A framework for heading-guided recognition of human activity,
CVIU(91), No. 3, September 2003, pp. 335-367.
WWW Version. 0310
BibRef
Earlier:
3D Trajectory Recovery for Tracking Multiple Objects and Trajectory-Guided Recognition of Actions,
CVPR99(II: 117-123).
IEEE Abstract.
IEEE DOI Link BibRef

Hu, W., Xie, D., Tan, T.N.[Tie-Niu], Maybank, S.J.[Steve J.],
Learning Activity Patterns Using Fuzzy Self-Organizing Neural Network,
SMC-B(34), No. 3, June 2004, pp. 1618-1626.
IEEE Abstract. 0407
BibRef

Hu, W.M.[Wei-Ming], Xie, D.[Dan], Fu, Z.Y.[Zhou-Yu], Zeng, W.R.[Wen-Rong], Maybank, S.J.[Steve J.],
Semantic-Based Surveillance Video Retrieval,
IP(16), No. 4, April 2007, pp. 1168-1181.
IEEE DOI Link 0704
See also Survey on Visual Content-Based Video Indexing and Retrieval, A. BibRef

Huang, K.Q.[Kai-Qi], Wang, S., Tan, T.N.[Tie-Niu], Maybank, S.J.[Steve J.],
Human Behavior Analysis Based on a New Motion Descriptor,
CirSysVideo(19), No. 12, December 2009, pp. 1830-1840.
IEEE DOI Link 0912
BibRef

Oliver, N.M.[Nuria M.], Garg, A.[Ashutosh], Horvitz, E.J.[Eric J.],
Layered representations for learning and inferring office activity from multiple sensory channels,
CVIU(96), No. 2, November 2004, pp. 163-180.
WWW Version. 0410
BibRef

Favier, P.A.[Pierre-Alexandre], de Loor, P.[Pierre],
From Decision to Action: Intentionality, A Guide for the Specification of Intelligent Agent's Behavior,
IJIG(6), No. 1, January 2006, pp. 87-99. 0601
BibRef

Gueguen, L.[Lionel], Datcu, M.[Mihai],
Image Time-Series Data Mining Based on the Information-Bottleneck Principle,
GeoRS(45), No. 4, April 2007, pp. 827-838.
IEEE DOI Link 0704
BibRef

Gudmundsson, J.[Joachim], van Kreveld, M.[Marc], Speckmann, B.[Bettina],
Efficient Detection of Patterns in 2D Trajectories of Moving Points,
GeoInfo(11), No. 2, June 2007, pp. 195-215.
Springer DOI Link 0709
BibRef

Nascimento, J.C.[Jacinto C.], Figueiredo, M.A.T.[Mario A.T.], Marques, J.S.[Jorge S.],
Independent increment processes for human motion recognition,
CVIU(109), No. 2, February 2008, pp. 126-138.
WWW Version. 0711
BibRef
Earlier:
Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications,
ICIP07(III: 197-200).
IEEE DOI Link 0709
BibRef
Earlier:
On-Line Classification of Human Activities,
IbPRIA07(II: 444-451).
Springer DOI Link 0706
BibRef
Earlier:
Recognition of Human Activities Using Space Dependent Switched Dynamical Models,
ICIP05(III: 852-855).
IEEE DOI Link 0512
Surveillance; Human motion; Activity recognition; Independent increment processes; Minimum description length BibRef

Nascimento, J.C.[Jacinto C.], Marques, J.S.[Jorge S.], Figueiredo, M.A.T.[Mario A. T.],
Discriminative model selection using a modified Bayesian criterion: Application to trajectory modeling,
ICIP11(1429-1432).
IEEE DOI Link 1201
BibRef
Earlier:
Classification of complex pedestrian activities from trajectories,
ICIP10(3481-3484).
IEEE DOI Link 1009
BibRef
And:
Discriminative model selection for object motion recognition,
ICIP10(3953-3956).
IEEE DOI Link 1009
BibRef

Nascimento, J.C.[Jacinto C.], Figueiredo, M.A.T.[Mario A.T.], Marques, J.S.[Jorge S.],
Unsupervised learning of motion patterns using generative models,
ICIP08(761-764).
IEEE DOI Link 0810
BibRef

Mokhber, A.[Arash], Achard, C.[Catherine], Milgram, M.[Maurice],
Recognition of human behavior by space-time silhouette characterization,
PRL(29), No. 1, 1 January 2008, pp. 81-89.
WWW Version. 0711
Behavior recognition; Action recognition; Motion analysis BibRef

Achard, C.[Catherine], Qu, X.T.[Xing-Tai], Mokhber, A.[Arash], Milgram, M.[Maurice],
A novel approach for recognition of human actions with semi-global features,
MVA(19), No. 1, January 2008, pp. 27-34.
Springer DOI Link 0801
BibRef
Earlier:
Action Recognition with Semi-global Characteristics and Hidden Markov Models,
ACIVS07(274-284).
Springer DOI Link 0708
BibRef
Earlier: A3, A1, A4, A2:
Combined Classifiers for Action Recognition,
IWICPAS06(27-34).
Springer DOI Link 0608
BibRef
Earlier: A3, A1, A2, A4:
Action Recognition with Global Features,
CVHCI05(110).
Springer DOI Link 0601
BibRef

Oh, S.M.[Sang Min], Rehg, J.M.[James M.], Balch, T.[Tucker], Dellaert, F.[Frank],
Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems,
IJCV(77), No. 1-3, May 2008, pp. 103-124.
Springer DOI Link 0803
BibRef
Earlier:
Learning and Inference in Parametric Switching Linear Dynamical Systems,
ICCV05(II: 1161-1168).
IEEE DOI Link 0510
BibRef
And: A1, A2, A4, Only:
Parameterized Duration Mmodeling for Switching Linear Dynamic Systems,
CVPR06(II: 1694-1700).
IEEE DOI Link 0606
Bee dances. for learning parameterized motions. BibRef

Xie, L., Sundaram, H., Campbell, M.,
Event Mining in Multimedia Streams,
PIEEE(96), No. 4, April 2008, pp. 623-647.
IEEE DOI Link 0804
BibRef

Jung, C.R., Hennemann, L., Musse, S.R.,
Event Detection Using Trajectory Clustering and 4-D Histograms,
CirSysVideo(18), No. 11, November 2008, pp. 1565-1575.
IEEE DOI Link 0811
BibRef

Yuan, J., Meng, J., Wu, Y., Luo, J.,
Mining Recurring Events Through Forest Growing,
CirSysVideo(18), No. 11, November 2008, pp. 1597-1607.
IEEE DOI Link 0811
BibRef

Lymberopoulos, D., Teixeira, T., Savvides, A.,
Macroscopic Human Behavior Interpretation Using Distributed Imager and Other Sensors,
PIEEE(96), No. 10, October 2008, pp. 1657-1677.
IEEE DOI Link 0811
BibRef

Chin, T.J.[Tat-Jun], Suter, D.[David],
Out-of-Sample Extrapolation of Learned Manifolds,
PAMI(30), No. 9, September 2008, pp. 1547-1556.
IEEE DOI Link 0808
BibRef

Chin, T.J.[Tat-Jun], Wang, L.[Liang], Schindler, K.[Konrad], Suter, D.[David],
Extrapolating Learned Manifolds for Human Activity Recognition,
ICIP07(I: 381-384).
IEEE DOI Link 0709
BibRef

Wang, L.[Liang], Suter, D.[David],
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef

Zhou, H.[Hang], Wang, L.[Liang], Suter, D.[David],
Human action recognition by feature-reduced Gaussian process classification,
PRL(30), No. 12, 1 September 2009, pp. 1059-1066,.
Elsevier DOI Link
WWW Version. 0909
BibRef
Earlier:
Human motion recognition using Gaussian Processes classification,
ICPR08(1-4).
IEEE DOI Link 0812
Human action recognition; Characteristic-based descriptor; Gaussian process classification; Spectral feature reduction BibRef

Wang, L.[Liang], Zhou, H.[Hang], Low, S.C.[Sui-Chien], Leckie, C.[Christopher],
Action recognition via multi-feature fusion and Gaussian process classification,
WACV09(1-6).
IEEE DOI Link 0912
BibRef

Fernandez, C.[Carles], Baiget, P.[Pau], Roca, F.X.[F. Xavier], Gonzalez, J.[Jordi],
Interpretation of complex situations in a semantic-based surveillance framework,
SP:IC(23), No. 7, August 2008, pp. 554-569.
WWW Version. 0804
Cognitive vision system; Situation analysis; Applied ontologies BibRef

Rowe, D.[Daniel], Gonzàlez, J.[Jordi], Pedersoli, M., Villanueva, J.J.[Juan J.],
On tracking inside groups,
MVA(21), No. 2, February 2010, pp. xx-yy.
Springer DOI Link 1002
Detection feeds 2 level tracking. Track several through mergers and splits. BibRef

Rowe, D.[Daniel], Gonzalez, J.[Jordi], Huerta, I.[Ivan], Villanueva, J.J.[Juan J.],
On Reasoning over Tracking Events,
SCIA07(502-511).
Springer DOI Link 0706
See also Probabilistic Image-Based Tracking: Improving Particle Filtering. BibRef

Rius, I.[Ignasi], Rowe, D.[Daniel], Gonzàlez, J.[Jordi], Roca, F.X.[F. Xavier],
A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking,
IbPRIA05(I:529).
Springer DOI Link 0509
BibRef

Fernández, C.[Carles], Gonzàlez, J.[Jordi], Roca, F.X.[F. Xavier],
Automatic Learning of Background Semantics in Generic Surveilled Scenes,
ECCV10(II: 678-692).
Springer DOI Link 1009
BibRef

Baiget, P.[Pau], Fernández, C.[Carles], Roca, F.X.[F. Xavier], Gonzàlez, J.[Jordi],
Automatic Learning of Conceptual Knowledge in Image Sequences for Human Behavior Interpretation,
IbPRIA07(I: 507-514).
Springer DOI Link 0706
BibRef

Wang, X.G.[Xiao-Gang], Ma, X.X.[Xiao-Xu], Grimson, W.E.L.[W. Eric L.],
Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models,
PAMI(31), No. 3, March 2009, pp. 539-555.
IEEE DOI Link 0902
BibRef
Earlier:
Unsupervised Activity Perception by Hierarchical Bayesian Models,
CVPR07(1-8).
IEEE DOI Link 0706
Anomaly Detection. Unsupervised learning in crowded environments (stations, shopping malls, traffic). Atomic activities modeled as distibutions over low level features. Then distributions over atomic activities. Three Bayesian Mixture models: Latent Dirichlet Allocation, Hierarchical Dirichlet Processes and dual Hierarchical Dirchlet Processes. Discover and summarize atomic activities. Sebment long video into different interactions, segment motions into different activities. Detect abnormality. Support high-level queries. BibRef

Wang, X.G.[Xiao-Gang], Ma, K.T.[Keng Teck], Ng, G.W.[Gee-Wah], Grimson, W.E.L.[W. Eric L.],
Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical Bayesian Models,
IJCV(95), No. 3, December 2011, pp. 287-312.
WWW Version. 1109
BibRef
Earlier:
Trajectory analysis and semantic region modeling using a nonparametric Bayesian model,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef
And: CSAIL-2008-015, June 2008.
WWW Version. Dual Hierarchical Dirichlet Processes (Dual-HDP) Treat trajectories as documents and observation is word in the document. Cluster trajectories, abnormal ones have few other members of the cluster. See also Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models. BibRef

Wang, X.G.[Xiao-Gang], Tieu, K.[Kinh], Grimson, W.E.L.[W. Eric L.],
Correspondence-Free Activity Analysis and Scene Modeling in Multiple Camera Views,
PAMI(32), No. 1, January 2010, pp. 56-71.
IEEE DOI Link 0912
BibRef
Earlier:
Correspondence-free multi-camera activity analysis and scene modeling,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef
And:
Learning Semantic Scene Models by Trajectory Analysis,
ECCV06(III: 110-123).
Springer DOI Link 0608
BibRef
And: CSAIL-2006-008, February 2006.
WWW Version. Segment using long-term trajectories. Multiple, synchronized, uncalibrated, stationary cameras. Motion patterns. Tracked independently. Group trajectories across views. Model paths in multiple views. Detect abnormal paths. BibRef

Brdiczka, O.[Oliver], Crowley, J.L.[James L.], Reignier, P.[Patrick],
Learning Situation Models in a Smart Home,
SMC-B(39), No. 1, February 2009, pp. 56-63.
IEEE DOI Link 0902
BibRef

Brdiczka, O.[Oliver], Yuen, P.C.[Pong C.], Zaidenberg, S.[Sofia], Reignier, P.[Patrick], Crowley, J.L.[James L.],
Automatic Acquisition of Context Models and its Application to Video Surveillance,
ICPR06(I: 1175-1178).
IEEE DOI Link 0609
BibRef

Veeraraghavan, A.[Ashok], Srinivasan, M.[Mandyam], Roy-Chowdhury, A.K.[Amit K.], Chellappa, R.[Rama],
Rate-Invariant Recognition of Humans and Their Activities,
IP(18), No. 6, June 2009, pp. 1326-1339.
IEEE DOI Link 0905
Model based approach to actions, capture variations due to rate of execution. BibRef

Patino, J.L.[Jose Luis], Benhadda, H., Corvee, E., Brémond, F.[Francois], Thonnat, M.[Monique],
Extraction of activity patterns on large video recordings,
IET-CV(2), No. 2, June 2008, pp. 108-128.
WWW Version. 0905
BibRef

Pusiol, G.[Guido], Bremond, F.[Francois], Thonnat, M.[Monique],
Trajectory Based Activity Discovery,
AVSS10(270-277).
IEEE DOI Link 1009
BibRef
Earlier:
Trajectory based Primitive Events for learning and recognizing activity,
THEMIS09(1081-1088).
IEEE DOI Link 0910
BibRef

Thonnat, M.[Monique], Brémond, F.[Francois], Pusiol, G.[Guido], Patino, J.L.[Jose Luis],
Optimizing trajectories clustering for activity recognition,
MLMotion08(xx-yy). 0810
BibRef

Gui, L.[Laura], Thiran, J.P.[Jean-Philippe], Paragios, N.[Nikos],
Cooperative Object Segmentation and Behavior Inference in Image Sequences,
IJCV(84), No. 2, August 2009, pp. xx-yy.
Springer DOI Link 0906
BibRef
Earlier:
Joint Object Segmentation and Behavior Classification in Image Sequences,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef
And:
A Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences,
SSVM07(652-664).
Springer DOI Link 0705
BibRef

Saleemi, I.[Imran], Shafique, K.[Khurram], Shah, M.[Mubarak],
Probabilistic Modeling of Scene Dynamics for Applications in Visual Surveillance,
PAMI(31), No. 8, August 2009, pp. 1472-1485.
IEEE DOI Link 0906
Model and learn activity from static camera. Generate likely paths to improve object detection and tracking. BibRef

Veeraraghavan, H.[Harini], Papanikolopoulos, N.P.[Nikolaos P.],
Learning to Recognize Video-Based Spatiotemporal Events,
ITS(10), No. 4, December 2009, pp. 628-638.
IEEE DOI Link 0912
BibRef

Veeraraghavan, H.[Harini], Papanikolopoulos, N.P.[Nikolaos P.], Schrater, P.[Paul],
Learning Dynamic Event Descriptions in Image Sequences,
CVPR07(1-6).
IEEE DOI Link 0706
BibRef

Husz, Z.L.[Zsolt L.], Wallace, A.M.[Andrew M.], Green, P.R.[Patrick R.],
Behavioural Analysis with Movement Cluster Model for Concurrent Actions,
JIVP(2011), No. 2011, pp. xx-yy.
WWW Version. 1101
BibRef
Earlier:
Human activity recognition with action primitives,
AVSBS07(330-335).
IEEE DOI Link 0709
See also Tracking With a Hierarchical Partitioned Particle Filter and Movement Modelling. BibRef

Faruquie, T.A.[Tanveer A.], Banerjee, S.[Subhashis], Kalra, P.K.[Prem K.],
Latent topic model-based group activity discovery,
VC(27), No. 12, December 2011, pp. 1071-1082.
WWW Version. 1112
BibRef
Earlier:
Unsupervised discovery of activity correlations using latent topic models,
ICCVGIP10(25-32).
WWW Version. 1111
BibRef
Earlier: A1, A3, A2:
Time based Activity Inference using Latent Dirichlet Allocation,
BMVC09(xx-yy).
PDF Version. 0909
Optic flow vectors. Group activities. BibRef

Yi, S.[Sheng], Krim, H.[Hamid], Norris, L.K.[Larry K.],
A invertible dimension reduction of curves on a manifold,
ITCVPR11(1378-1385).
IEEE DOI Link 1201
BibRef
And:
Human Activity Modeling as Brownian Motion on Shape Manifold,
SSVM11(628-639).
Springer DOI Link 1201
BibRef

Gilbert, A.[Andrew], Bowden, R.[Richard],
iGroup: Weakly supervised image and video grouping,
ICCV11(2166-2173).
IEEE DOI Link 1201
BibRef
And:
Push and Pull: Iterative grouping of media,
BMVC11(xx-yy).
HTML Version. 1110
sub activities withing the scene. BibRef

Ogawara, K.[Koichi], Tanabe, Y.[Yasufumi], Kurazume, R.[Ryo], Hasegawa, T.[Tsutomu],
Detecting Frequent Patterns in Video Using Partly Locality Sensitive Hashing,
VECTaR10(287-296).
Springer DOI Link 1109
BibRef

Nayak, N.M.[Nandita M.], Kamal, A.T.[Ahmed Tashrif], Roy-Chowdhury, A.K.[Amit K.],
Vector field analysis for motion pattern identification in video,
ICIP11(2089-2092).
IEEE DOI Link 1201
BibRef

Nayak, N.M.[Nandita M.], Song, B.[Bi], Roy-Chowdhury, A.K.[Amit K.],
Dynamic modeling of streaklines for motion pattern analysis in video,
MLVMA11(39-46).
IEEE DOI Link 1106
Flow based model. Trajectories as streaks. BibRef

Zen, G.[Gloria], Ricci, E.[Elisa], Messelodi, S.[Stefano], Sebe, N.[Nicu],
Sorting Atomic Activities for Discovering Spatio-temporal Patterns in Dynamic Scenes,
CIAP11(I: 207-216).
Springer DOI Link 1109
BibRef

Zen, G.[Gloria], Ricci, E.[Elisa],
Earth mover's prototypes: A convex learning approach for discovering activity patterns in dynamic scenes,
CVPR11(3225-3232).
IEEE DOI Link 1106
Automatically discover spatio-temporal patterns in complex dynamic scenes. BibRef

Chen, C.C.[Chia-Chih], Aggarwal, J.K.,
Modeling human activities as speech,
CVPR11(3425-3432).
IEEE DOI Link 1106
BibRef

Kulkarni, K.[Kaustubh], Boyer, E.[Edmond], Horaud, R.[Radu], Kale, A.[Amit],
An Unsupervised Framework for Action Recognition Using Actemes,
ACCV10(IV: 592-605).
Springer DOI Link 1011
BibRef

Daldoss, M., Piotto, N., Conci, N., de Natale, F.G.B.,
Learning and matching human activities using regular expressions,
ICIP10(4681-4684).
IEEE DOI Link 1009
BibRef

Ukita, N.[Norimichi], Kotera, A.[Akihito], Kidode, M.[Masatsugu],
Behavior Recognition with HMM and Feature Analysis using a Wide-view Camera and a PTZ camera,
MVA09(235-).
PDF Version. 0905
BibRef

Sankaranarayanan, K.[Karthik], Davis, J.W.[James W.],
Object association across PTZ cameras using logistic MIL,
CVPR11(3433-3440).
IEEE DOI Link 1106
Multiple Instance Learning. BibRef

Sankaranarayanan, K.[Karthik], Davis, J.W.[James W.],
Attention-Based Target Localization Using Multiple Instance Learning,
ISVC10(I: 381-392).
Springer DOI Link 1011
BibRef
And:
Learning Directed Intention-driven Activities using Co-Clustering,
AVSS10(400-407).
IEEE DOI Link 1009
BibRef

Aoun, N.B.[Najib Ben], Elghazel, H.[Haytham], Hacid, M.S.[Mohand-Said], Amar, C.B.[Chokri Ben],
Graph Aggregation Based Image Modeling and Indexing for Video Annotation,
CAIP11(II: 324-331).
Springer DOI Link 1109
BibRef

Wali, A.[Ali], Aoun, N.B.[Najib Ben], Karray, H.[Hichem], Amar, C.B.[Chokri Ben], Alimi, A.M.[Adel M.],
A New System for Event Detection from Video Surveillance Sequences,
ACIVS10(II: 110-120).
Springer DOI Link 1012
BibRef

Wali, A., Alimi, A.M.,
Incremental Learning Approach for Events Detection from Large Video Dataset,
AVSS10(555-560).
IEEE DOI Link 1009
BibRef

Patino, L.[Luis], Evans, M.[Murray], Ferryman, J.[James], Bremond, F.[François], Thonnat, M.[Monique],
Unsupervised Activity Extraction on Long-Term Video Recordings Employing Soft Computing Relations,
CVS11(91-100).
Springer DOI Link 1109
BibRef

Pusiol, G.[Guido], Bremond, F.[Francois], Thonnat, M.[Monique],
Unsupervised Discovery, Modeling, and Analysis of Long Term Activities,
CVS11(101-111).
Springer DOI Link 1109
BibRef

Patino, L.[Luis], Bremond, F.[François], Evans, M.[Murray], Shahrokni, A., Ferryman, J.M.[James M.],
Video Activity Extraction and Reporting with Incremental Unsupervised Learning,
AVSS10(511-518).
IEEE DOI Link 1009
BibRef

Zhao, L.[Liyue], Wang, X.[Xi], Sukthankar, G.[Gita], Sukthankar, R.[Rahul],
Motif Discovery and Feature Selection for CRF-based Activity Recognition,
ICPR10(3826-3829).
IEEE DOI Link 1008
BibRef

Venkatesha, S.[Sharath], Turk, M.A.[Matthew A.],
Human Activity Recognition Using Local Shape Descriptors,
ICPR10(3704-3707).
IEEE DOI Link 1008
BibRef

Nater, F.[Fabian], Grabner, H.[Helmut], Van Gool, L.J.[Luc J.],
Temporal Relations in Videos for Unsupervised Activity Analysis,
BMVC11(xx-yy).
HTML Version. 1110
BibRef
Earlier:
Exploiting simple hierarchies for unsupervised human behavior analysis,
CVPR10(2014-2021).
IEEE DOI Link 1006
BibRef

Kuettel, D.[Daniel], Breitenstein, M.D.[Michael D.], Van Gool, L.J.[Luc J.], Ferrari, V.[Vittorio],
What's going on? Discovering spatio-temporal dependencies in dynamic scenes,
CVPR10(1951-1958).
IEEE DOI Link Video of talk:
WWW Version. 1006
BibRef

Wu, X.X.[Xin-Xiao], Xu, D.[Dong], Duan, L.X.[Li-Xin], Luo, J.B.[Jie-Bo],
Action recognition using context and appearance distribution features,
CVPR11(489-496).
IEEE DOI Link 1106
BibRef

Duan, L.X.[Li-Xin], Xu, D.[Dong], Tsang, I.W.[Ivor W.], Luo, J.B.[Jie-Bo],
Visual event recognition in videos by learning from web data,
CVPR10(1959-1966).
IEEE DOI Link Video of talk:
WWW Version. 1006
Award, CVPR, Student. 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 Link 1008
BibRef

Wang, P.[Ping], Abowd, G.D.[Gregory D.], Rehg, J.M.[James M.],
Quasi-periodic Event Analysis for Social Game Retrieval,
ICCV09(112-119).
IEEE DOI Link 0909
BibRef

Scovanner, P.[Paul], Tappen, M.F.[Marshall F.],
Learning pedestrian dynamics from the real world,
ICCV09(381-388).
IEEE DOI Link 0909
BibRef

Yi, S.[Sheng], Krim, H.[Hamid],
Capturing human activity by a curve,
ICIP09(3561-3564).
IEEE DOI Link 0911
BibRef

Vargas-Govea, B.[Blanca], Morales, E.F.[Eduardo F.],
Learning Relational Grammars from Sequences of Actions,
CIARP09(892-900).
Springer DOI Link 0911
BibRef

Zhu, P.F.[Peng-Fei], Hu, W.M.[Wei-Ming], Li, L.[Li], Wei, Q.D.[Qing-Di],
Human Activity Recognition Based on R Transform and Fourier Mellin Transform,
ISVC09(II: 631-640).
Springer DOI Link 0911
BibRef

Zúñiga, M.[Marcos], Brémond, F.[François], Thonnat, M.[Monique],
Incremental Video Event Learning,
CVS09(403-414).
Springer DOI Link 0910
BibRef

San Miguel, J.C.[Juan C.], Cavallaro, A.[Andrea], Martinez, J.M.[Jose M.],
Evaluation of on-line quality estimators for object tracking,
ICIP10(825-828).
IEEE DOI Link 1009
BibRef

San Miguel, J.C.[Juan Carlos], Martinez, J.M.[José M.], Garcia, Á.[Álvaro],
An Ontology for Event Detection and its Application in Surveillance Video,
AVSBS09(220-225).
IEEE DOI Link 0909
BibRef

Gomez-Romero, J.[Juan], Patricio, M.A.[Miguel A.], Garcia, J.[Jesús], Molina, J.M.[José M.],
Context-Based Reasoning Using Ontologies to Adapt Visual Tracking in Surveillance,
AVSBS09(226-231).
IEEE DOI Link 0909
BibRef

Zhang, T.Z.[Tian-Zhu], Lu, H.Q.[Han-Qing], Li, S.Z.[Stan Z.],
Learning semantic scene models by object classification and trajectory clustering,
CVPR09(1940-1947).
IEEE DOI Link 0906
Learning activity models. BibRef

Joshi, D.[Dhiraj], Luo, J.B.[Jie-Bo],
Inferring generic activities and events from image content and bags of geo-tags,
CIVR08(37-46). 0807
BibRef

de la Torre-Frade, F.[Fernando], Hodgins, J.K.[Jessica K.], Bargteil, A.W.[Adam W.], Artal, X.M.[Xavier Martin], Macey, J.C.[Justin C.], Collado I Castells, A.[Alexandre], and Beltran, J.[Josep],
Guide to the Carnegie Mellon University Multimodal Activity (CMU-MMAC) Database,
CMU-RI-TR-08-22, April, 2008.
WWW Version. Dataset, Activity Recognition. BibRef 0804

Lau, M.[Manfred], Bar-Joseph, Z.[Ziv], Kuffner, J.[James],
Modeling Variation in Motion Data,
CMU-CS-08-118, April 2008.
HTML Version. BibRef 0804

Vail, D.L.[Douglas L.],
Conditional Random Fields for Activity Recognition,
CMU-CS-08-119, April 2008. BibRef 0804 Ph.D.Thesis, April 2008.
HTML Version. BibRef

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Earlier: A1, A3, A2:
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Earlier: A1, A3, A2:
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From Motion Patterns to Visual Concepts for Event Analysis in Dynamic Scenes,
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Ontology-based hierarchical conceptual model for semantic representation of events in dynamic scenes,
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Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost,
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Ren, J.C., Orwell, J., Jones, G.A.,
Learning Surveillance Tracking Models for the Self-Calibrated Ground Plane,
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Hierarchical interpretation of human activities using competitive learning,
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Menendez, J., Velastin, S.A.,
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Abandoned Luggage, Human Safety, Falling, Drowning, Underwater .