Unsupervised scene analysis: A hidden Markov model approach
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[1] Ming-Ting Sun,et al. Special Issue on Video Surveillance , 2008, IEEE Trans. Circuits Syst. Video Technol..
[2] Chng Eng Siong,et al. Foreground motion detection by difference-based spatial temporal entropy image , 2004, 2004 IEEE Region 10 Conference TENCON 2004..
[3] Luc Van Gool,et al. A Probabilistic Approach to Large Displacement Optical Flow and Occlusion Detection , 2004, ECCV Workshop SMVP.
[4] M. Cristani,et al. Multi-level background initialization using Hidden Markov Models , 2003, IWVS '03.
[5] Shaogang Gong,et al. Recognition of group activities using dynamic probabilistic networks , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[6] Mário A. T. Figueiredo,et al. Similarity-Based Clustering of Sequences Using Hidden Markov Models , 2003, MLDM.
[7] Vladimir Pavlovic,et al. Discovering clusters in motion time-series data , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[8] Chris Stauffer,et al. Estimating Tracking Sources and Sinks , 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.
[9] Andrew Zisserman,et al. Computer vision applied to super resolution , 2003, IEEE Signal Process. Mag..
[10] Mário A. T. Figueiredo,et al. A sequential pruning strategy for the selection of the number of states in hidden Markov models , 2003, Pattern Recognit. Lett..
[11] Hilary Buxton,et al. Learning and understanding dynamic scene activity: a review , 2003, Image Vis. Comput..
[12] B. Frey,et al. Transformation-Invariant Clustering Using the EM Algorithm , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Manuele Bicego,et al. Integrated region- and pixel-based approach to background modelling , 2002, Workshop on Motion and Video Computing, 2002. Proceedings..
[14] Konrad Tollmar,et al. Activity maps for location-aware computing , 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..
[15] Shaogang Gong,et al. On the semantics of visual behaviour, structured events and trajectories of human action , 2002, Image Vis. Comput..
[16] Joydeep Ghosh,et al. HMMs and Coupled HMMs for multi-channel EEG classification , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).
[17] Manuele Bicego,et al. A Hidden Markov Model-Based Approach to Sequential Data Clustering , 2002, SSPR/SPR.
[18] Cen Li,et al. Applying the Hidden Markov Model Methodology for Unsupervised Learning of Temporal Data , 2002 .
[19] Christopher M. Bishop,et al. Bayesian Image Super-Resolution , 2002, NIPS.
[20] Shaogang Gong,et al. Autonomous Visual Events Detection and Classification without Explicit Object-Centred Segmentation and Tracking , 2002, BMVC.
[21] Shaogang Gong,et al. Learning pixel-wise signal energy for understanding semantics , 2003, Image Vis. Comput..
[22] Claus Bahlmann,et al. Measuring HMM similarity with the Bayes probability of error and its application to online handwriting recognition , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.
[23] Agostino Dovier,et al. Designing the Minimal Structure of Hidden Markov Model by Bisimulation , 2001, EMMCVPR.
[24] Joachim M. Buhmann,et al. Topology free hidden Markov models: application to background modeling , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[25] Shaogang Gong,et al. Continuous global evidence-based Bayesian modality fusion for simultaneous tracking of multiple objects , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[26] David C. Hogg,et al. Learning Variable-Length Markov Models of Behavior , 2001, Comput. Vis. Image Underst..
[27] Olivier Cappé,et al. Ten years of HMMs , 2001 .
[28] James T. Kwok,et al. Rival penalized competitive learning for model-based sequence clustering , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[29] Takashi Matsuyama,et al. Multiobject Behavior Recognition by Event Driven Selective Attention Method , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[30] Larry S. Davis,et al. W4: Real-Time Surveillance of People and Their Activities , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[31] Milind R. Naphade,et al. A probabilistic framework for semantic indexing and retrieval in video , 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).
[32] Takeo Kanade,et al. Introduction to the Special Section on Video Surveillance , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[33] Gautam Biswas,et al. A Bayesian Approach to Temporal Data Clustering using Hidden Markov Models , 2000, ICML.
[34] Andrew Blake,et al. A Probabilistic Background Model for Tracking , 2000, ECCV.
[35] K. Ramchandran,et al. A factor graph framework for semantic indexing and retrieval in video , 2000, 2000 Proceedings Workshop on Content-based Access of Image and Video Libraries.
[36] Takeo Kanade,et al. Limits on super-resolution and how to break them , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[37] Brendan J. Frey,et al. Transformed hidden Markov models: estimating mixture models of images and inferring spatial transformations in video sequences , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[38] Takeo Kanade,et al. Hallucinating faces , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[39] Stéphane Marchand-Maillet,et al. Content-Based Video Retrieval: an Overview , 2000 .
[40] Takeo Kanade,et al. A System for Video Surveillance and Monitoring , 2000 .
[41] Michael Elad,et al. Super-Resolution Reconstruction of Image Sequences , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[42] W. Eric L. Grimson,et al. Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[43] Michael Elad,et al. Superresolution restoration of an image sequence: adaptive filtering approach , 1999, IEEE Trans. Image Process..
[44] Alex Pentland,et al. Action Reaction Learning: Automatic Visual Analysis and Synthesis of Interactive Behaviour , 1999, ICVS.
[45] Dariu Gavrila,et al. The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..
[46] Matthew Brand,et al. An Entropic Estimator for Structure Discovery , 1998, NIPS.
[47] Alex Pentland,et al. Graphical Models for Recognizing Human Interactions , 1998, NIPS.
[48] Max A. Viergever,et al. Efficient and reliable schemes for nonlinear diffusion filtering , 1998, IEEE Trans. Image Process..
[49] David C. Hogg,et al. Statistical Models of Object Interaction , 1998, Proceedings 1998 IEEE Workshop on Visual Surveillance.
[50] Russell C. Hardie,et al. Joint MAP registration and high-resolution image estimation using a sequence of undersampled images , 1997, IEEE Trans. Image Process..
[51] James W. Davis,et al. The representation and recognition of human movement using temporal templates , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[52] Alex Pentland,et al. Coupled hidden Markov models for complex action recognition , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[53] Huaiyu Zhu. On Information and Sufficiency , 1997 .
[54] Padhraic Smyth,et al. Clustering Sequences with Hidden Markov Models , 1996, NIPS.
[55] James W. Davis,et al. An appearance-based representation of action , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[56] Robert L. Stevenson,et al. Extraction of high-resolution frames from video sequences , 1996, IEEE Trans. Image Process..
[57] Peter Cheeseman,et al. Super-Resolved Surface Reconstruction from Multiple Images , 1996 .
[58] Dragutin Petkovic,et al. Query by Image and Video Content: The QBIC System , 1995, Computer.
[59] David C. Hogg,et al. Learning the Distribution of Object Trajectories for Event Recognition , 1995, BMVC.
[60] Andreas Stolcke,et al. Hidden Markov Model} Induction by Bayesian Model Merging , 1992, NIPS.
[61] Michal Irani,et al. Improving resolution by image registration , 1991, CVGIP Graph. Model. Image Process..
[62] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[63] L. R. Rabiner,et al. A probabilistic distance measure for hidden Markov models , 1985, AT&T Technical Journal.
[64] New York Dover,et al. ON THE CONVERGENCE PROPERTIES OF THE EM ALGORITHM , 1983 .
[65] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[66] Donald B. Rubin,et al. Max-imum Likelihood from Incomplete Data , 1972 .