Abnormality detection using low-level co-occurring events

Pattern Recognition Letters - Tập 32 - Trang 423-431 - 2011
Yannick Benezeth1, Pierre-Marc Jodoin2, Venkatesh Saligrama3
1Orange Labs, France Telecom R&D 4, rue du Clos Courtel, 35512 Cesson Sévigné, France
2Université de Sherbrooke 2500 bd. de l’Université Sherbrooke, Canada J1K 2R1
3Boston University, Department of Electrical and Computer Engineering, 8 Saint Mary’s Street, Boston, MA 02215, USA

Tài liệu tham khảo

Adam, 2008, Robust real-time unusual event detection using multiple fixed-location monitors, Transactions on Pattern Analysis and Machine Intelligence, 30, 555, 10.1109/TPAMI.2007.70825 Ahmad, 2008, Human action recognition using shape and CLG-motion flow from multi-view image sequences, Pattern Recognition, 41, 2237, 10.1016/j.patcog.2007.12.008 Benezeth, 2009, Abnormal events detection based on spatio-temporal co-occurences, International Conference on Computer Vision and Pattern Recognition, 2458, 10.1109/CVPR.2009.5206686 Benezeth, 2010, Comparative study of background subtraction algorithm, Journal of Electronic Imaging, 19, 10.1117/1.3456695 Bobick, 2001, The recognition of human movement using temporal templates, Transactions on Pattern Analysis and Machine Intelligence, 23, 257, 10.1109/34.910878 Boiman, 2007, Detecting irregularities in images and in video, International Journal on Computer Vision, 74, 17, 10.1007/s11263-006-0009-9 Buxton, 2003, Learning and understanding dynamic scene activity: a review, Image and Vision Computing, 23, 125, 10.1016/S0262-8856(02)00127-0 Chen, 2005, Computer vision workload analysis: case study of video surveillance systems, Intel Technology Journal, 9, 109 Ermis, 2010, Activity based matching in distributed camera network, IEEE Transactions on Image Processing, 19, 2595, 10.1109/TIP.2010.2052824 Friedman, 1997, Image segmentation in video sequences: a probabilistic approach, International conference on Uncertainty in Artificial Intelligence, 175 Haritaoglu, 2000, W4: Real-time surveillance of people and their activities, Transactions on Pattern Analysis and Machine Intelligence, 22, 809, 10.1109/34.868683 Hu, 2004, A survey on visual surveillance of object motion and behaviors, Transactions on System Man and Cybernetics – Part C: Applications and Reviews, 34, 334, 10.1109/TSMCC.2004.829274 Hu, 2006, A system for learning statistical motion patterns, Transactions on Pattern Analysis and Machine Intelligence, 28, 1450, 10.1109/TPAMI.2006.176 Hu, 2009, Direct kernel neighborhood discriminant analysis for face recognition, Pattern recognition letters, 30, 902, 10.1016/j.patrec.2009.03.012 Jodoin, 2008, Modeling background activity for behavior subtraction, International Conference on Distributed Smart Cameras, 1, 10.1109/ICDSC.2008.4635683 Junejo, 2004, Multi feature path modeling for video surveillance, International Conference on Pattern Recognition, 716 Konrad, 2005, Motion detection and estimation, 253 Lim, S.-N., Fujiyoshi, H., Patil, R., 2006. A one-threshold algorithm for detecting abandoned packages under severe occlusions using a single camera. Technical Report CS-TR-4784, University of Maryland. Nghiem, 2007, Etiseo, performance evaluation for video surveillance systems, International Conference on Advanced Video and Signal Based Surveillance, 476, 10.1109/AVSS.2007.4425357 Polonik, 1997, Minimum volume sets and generalized quantile processes, Stochastic Processes and Applications, 69, 1, 10.1016/S0304-4149(97)00028-8 Pritch, 2008, Non-chronological video synopsis and indexing, Transactions on Pattern Analysis and Machine Intelligence, 30, 1971, 10.1109/TPAMI.2008.29 Pruteanu-Malinici, 2008, Infinite Hidden Markov Models for unusual-event detection in video, Transactions in Image Processing, 17, 811, 10.1109/TIP.2008.919359 Saleemi, 2009, Probabilistic modeling of scene dynamics for applications in visual surveillance, Transactions on Pattern Analysis and Machine Intelligence, 31, 1472, 10.1109/TPAMI.2008.175 Smith, 2006, Detecting abandoned luggage items in a public space, Performance Evaluation of Tracking and Surveillance Workshop (PETS), 75 Stauffer, 2000, Learning patterns of activity using real-time tracking, Transactions on Pattern Analysis and Machine Intelligence, 22, 747, 10.1109/34.868677 Thirde, D., Ferryman, L. Li. J., 2006. An overview of the pets 2006 dataset. In: International Workshop on Performance Evaluation of Tracking and Surveillance, pp. 47–50. Wang, 2009, Unsupervised activity perception in crowded and complicated scenes using hierarchical Bayesian models, Transactions on Pattern Analysis and Machine Intelligence, 31, 539, 10.1109/TPAMI.2008.87 Wang, 2010, Correspondence-free activity analysis and scene modeling in multiple camera views, Transactions on Pattern Analysis and Machine Intelligence, 32, 56, 10.1109/TPAMI.2008.241 Xiang, 2006, Beyond tracking: modeling activity and understanding behavior, International Journal on Computer Vision, 67, 21, 10.1007/s11263-006-4329-6 Xiaogang, 2008, Trajectory analysis and semantic region modeling using a nonparametric Bayesian model, International Conference on Computer Vision and Pattern Recognition, 1, 10.1109/CVPR.2008.4587718 Zhao, 2003, Face recognition: A literature survey, ACM Computing Surveys, 35, 399, 10.1145/954339.954342