A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance
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[1] M. Tahar Kechadi,et al. A Hybrid HMM-SVM Method for Online Handwriting Symbol Recognition , 2006, Sixth International Conference on Intelligent Systems Design and Applications.
[2] Osama Masoud,et al. Computer vision algorithms for intersection monitoring , 2003, IEEE Trans. Intell. Transp. Syst..
[3] Xiaolu Liu,et al. Development and evaluation of real-time video surveillance system on highway based on semantic hierarchy and decision surface , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.
[4] Alexandre Bernardino,et al. Detection and classification of highway lanes using vehicle motion trajectories , 2006, IEEE Transactions on Intelligent Transportation Systems.
[5] Jean-Philippe Thiran,et al. Multi-Layer Hierarchical Clustering of Pedestrian Trajectories for Automatic Counting of People in Video Sequences , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.
[6] Zhihai He,et al. Low-Complexity and Reliable Moving Objects Detection and Tracking for Aerial Video Surveillance with Small UAVS , 2007, 2007 IEEE International Symposium on Circuits and Systems.
[7] T. Warren Liao,et al. Clustering of time series data - a survey , 2005, Pattern Recognit..
[8] 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).
[9] Chih-Wen Su,et al. Real-time event detection and its application to surveillance systems , 2006, 2006 IEEE International Symposium on Circuits and Systems.
[10] Mubarak Shah,et al. Machine Vision and Applications Understanding Human Behavior from Motion Imagery , 2003 .
[11] Fatih Murat Porikli,et al. Learning object trajectory patterns by spectral clustering , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).
[12] Jianbo Shi,et al. Detecting unusual activity in video , 2004, CVPR 2004.
[13] Zhouyu Fu,et al. Semantic-Based Surveillance Video Retrieval , 2007, IEEE Transactions on Image Processing.
[14] Tarak Gandhi,et al. Vehicle Surround Capture: Survey of Techniques and a Novel Omni-Video-Based Approach for Dynamic Panoramic Surround Maps , 2006, IEEE Transactions on Intelligent Transportation Systems.
[15] Tieniu Tan,et al. Traffic accident prediction using 3-D model-based vehicle tracking , 2004, IEEE Transactions on Vehicular Technology.
[16] Robert T. Collins,et al. Articulated Motion Modeling for Activity Analysis , 2004, CVPR 2004.
[17] Tieniu Tan,et al. A hierarchical self-organizing approach for learning the patterns of motion trajectories , 2004, IEEE Trans. Neural Networks.
[18] Marcello Pelillo,et al. Dominant sets and hierarchical clustering , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[19] Chris Stauffer,et al. Estimating Tracking Sources and Sinks , 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.
[20] Stefano Messelodi,et al. A computer vision system for the detection and classification of vehicles at urban road intersections , 2005, Pattern Analysis and Applications.
[21] Wei Hu,et al. A Coarse-to-Fine Strategy for Vehicle Motion Trajectory Clustering , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[22] Andrew J. Bulpitt,et al. Learning spatio-temporal patterns for predicting object behaviour , 2000, Image Vis. Comput..
[23] Mubarak Shah,et al. Tracking across multiple cameras with disjoint views , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[24] Jun-Wei Hsieh,et al. Automatic traffic surveillance system for vehicle tracking and classification , 2006, IEEE Transactions on Intelligent Transportation Systems.
[25] Jake K. Aggarwal,et al. Hierarchical Recognition of Human Activities Interacting with Objects , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Shehzad Khalid,et al. Motion Trajectory Learning in the DFT-Coefficient Feature Space , 2006, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06).
[27] Ching-Yao Chan,et al. Defining Safety Performance Measures of Driver-Assistance Systems for Intersection Left-Turn Conflicts , 2006, 2006 IEEE Intelligent Vehicles Symposium.
[28] Tarak Gandhi,et al. Multi-camera Based Traffic Flow Characterization & Classification , 2007, 2007 IEEE Intelligent Transportation Systems Conference.
[29] Tarek Sayed,et al. Probabilistic Collision Prediction for Vision-Based Automated Road Safety Analysis , 2007, 2007 IEEE Intelligent Transportation Systems Conference.
[30] Jake K. Aggarwal,et al. A hierarchical Bayesian network for event recognition of human actions and interactions , 2004, Multimedia Systems.
[31] Tieniu Tan,et al. Comparison of Similarity Measures for Trajectory Clustering in Outdoor Surveillance Scenes , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[32] Gian Luca Foresti,et al. On-line trajectory clustering for anomalous events detection , 2006, Pattern Recognit. Lett..
[33] Osama Masoud,et al. Learning Traffic Patterns at Intersections by Spectral Clustering of Motion Trajectories , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[34] Shaogang Gong,et al. Video behaviour profiling and abnormality detection without manual labelling , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[35] Dimitrios Gunopulos,et al. Discovering similar multidimensional trajectories , 2002, Proceedings 18th International Conference on Data Engineering.
[36] Rangachar Kasturi,et al. Activity recognition based on multiple motion trajectories , 2004, ICPR 2004.
[37] Tarak Gandhi,et al. Distributed interactive video arrays for event capture and enhanced situational awareness , 2005, IEEE Intelligent Systems.
[38] Paolo Remagnino,et al. Distributed intelligence for multi-camera visual surveillance , 2004, Pattern Recognit..
[39] Biing-Hwang Juang,et al. Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.
[40] Tony Jebara,et al. Probability Product Kernels , 2004, J. Mach. Learn. Res..
[41] Ian D. Reid,et al. Behaviour understanding in video: a combined method , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[42] Dan Schonfeld,et al. HMM-based motion recognition system using segmented PCA , 2005, IEEE International Conference on Image Processing 2005.
[43] W. Eric L. Grimson,et al. Learning Patterns of Activity Using Real-Time Tracking , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[44] Michal Irani,et al. Detecting Irregularities in Images and in Video , 2005, ICCV.
[45] Tieniu Tan,et al. Learning activity patterns using fuzzy self-organizing neural network , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[46] George Kollios,et al. Extraction and clustering of motion trajectories in video , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[47] Mohan M. Trivedi,et al. Multi-person interaction and activity analysis: a synergistic track- and body-level analysis framework , 2007, Machine Vision and Applications.
[48] W. Eric L. Grimson,et al. Unsupervised Activity Perception by Hierarchical Bayesian Models , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[49] Nelson H. C. Yung,et al. Vehicle-type identification through automated virtual loop assignment and block-based direction biased motion estimation , 1999, Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383).
[50] Kuntal Sengupta,et al. Framework for real-time behavior interpretation from traffic video , 2005, IEEE Transactions on Intelligent Transportation Systems.
[51] Pavel Berkhin,et al. A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.
[52] Mohan M. Trivedi,et al. Learning and Classification of Trajectories in Dynamic Scenes: A General Framework for Live Video Analysis , 2008, 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance.
[53] Mohan M. Trivedi,et al. Low-Level Segmentation of Aerial Images with Fuzzy Clustering , 1986, IEEE Transactions on Systems, Man, and Cybernetics.
[54] David C. Hogg,et al. Learning the distribution of object trajectories for event recognition , 1996, Image Vis. Comput..
[55] Tim J. Ellis,et al. Learning semantic scene models from observing activity in visual surveillance , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[56] David A. Forsyth,et al. Learning the Behavior of Users in a Public Space through Video Tracking , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.
[57] Wolfram Burgard,et al. Utilizing Learned Motion Patterns to Robustly Track Persons , 2003 .
[58] Mohan M. Trivedi,et al. Novel concepts and challenges for the next generation of video surveillance systems , 2007, Machine Vision and Applications.
[59] Osama Masoud,et al. A vision-based approach to collision prediction at traffic intersections , 2005, IEEE Transactions on Intelligent Transportation Systems.
[60] Mohan M. Trivedi,et al. Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video , 2008, IEEE Transactions on Intelligent Transportation Systems.
[61] Tieniu Tan,et al. A system for learning statistical motion patterns , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[62] Katsushi Ikeuchi,et al. Traffic monitoring and accident detection at intersections , 2000, IEEE Trans. Intell. Transp. Syst..
[63] Tieniu Tan,et al. A survey on visual surveillance of object motion and behaviors , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[64] Dietmar Bauer,et al. Track-Based Finding of Stopping Pedestrians - A Practical Approach for Analyzing a Public Infrastructure , 2006, 2006 IEEE Intelligent Transportation Systems Conference.
[65] Tim J. Ellis,et al. Path detection in video surveillance , 2002, Image Vis. Comput..
[66] Neil Robertson,et al. Behaviour Recognition and Explanation for Video Surveillance , 2006 .
[67] Vladimir Kolmogorov,et al. An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision , 2004, IEEE Trans. Pattern Anal. Mach. Intell..
[68] Osama Masoud,et al. Detection of loitering individuals in public transportation areas , 2005, IEEE Transactions on Intelligent Transportation Systems.
[69] A. Fascioli,et al. Pedestrian Protection Systems : Issues , Survey , and Challenges , 2007 .
[70] Yo-Sung Ho,et al. Traffic parameter extraction using video-based vehicle tracking , 1999, Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383).
[71] Tim J. Ellis,et al. Bridging the gaps between cameras , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[72] James Orwell,et al. Learning the Semantic Landscape: embedding scene knowledge in object tracking , 2005, Real Time Imaging.
[73] Mubarak Shah,et al. Multi feature path modeling for video surveillance , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[74] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[75] David C. Hogg,et al. On the feasibility of using a cognitive model to filter surveillance data , 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..
[76] Osama Masoud,et al. A collision prediction system for traffic intersections , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[77] Hilary Buxton,et al. Learning and understanding dynamic scene activity: a review , 2003, Image Vis. Comput..
[78] Anil K. Jain,et al. Landscape of clustering algorithms , 2004, ICPR 2004.
[79] Matthew Brand,et al. Discovery and Segmentation of Activities in Video , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[80] Dan Schonfeld,et al. Object Trajectory-Based Activity Classification and Recognition Using Hidden Markov Models , 2007, IEEE Transactions on Image Processing.
[81] Ramakant Nevatia,et al. Large-scale event detection using semi-hidden Markov models , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[82] Andrew Hunter,et al. Application of the self-organising map to trajectory classification , 2000, Proceedings Third IEEE International Workshop on Visual Surveillance.
[83] Daniel J. Dailey,et al. Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation , 2003, IEEE Trans. Intell. Transp. Syst..
[84] Teuvo Kohonen,et al. The self-organizing map , 1990 .
[85] Edward Y. Chang,et al. Anatomy of a multicamera video surveillance system , 2004, Multim. Syst..
[86] Marcello Pelillo,et al. Dominant Sets and Pairwise Clustering , 2007 .
[87] Dimitrios Gunopulos,et al. Iterative Incremental Clustering of Time Series , 2004, EDBT.
[88] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[89] Shehzad Khalid,et al. Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space , 2006, Multimedia Systems.