Expert video-surveillance system for real-time detection of suspicious behaviors in shopping malls
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Luis Miguel Bergasa | Roberto Arroyo | José Javier Yebes Torres | Javier Almazán | Iván Garcia Daza | J. J. Torres | L. M. Bergasa | R. Arroyo | J. Almazán | I. G. Daza
[1] Ramakant Nevatia,et al. Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[2] Qi Tian,et al. An Efficient Sequential Approach to Tracking Multiple Objects Through Crowds for Real-Time Intelligent CCTV Systems , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[3] Yizhen Huang,et al. Multi-pose human head detection and tracking boosted by efficient human head validation using ellipse detection , 2015, Eng. Appl. Artif. Intell..
[4] Benjamin Höferlin,et al. Evaluation of background subtraction techniques for video surveillance , 2011, CVPR 2011.
[5] Yihong Gong,et al. Multi-target tracking by learning local-to-global trajectory models , 2015, Pattern Recognit..
[6] Thomas B. Moeslund,et al. Thermal cameras and applications: a survey , 2013, Machine Vision and Applications.
[7] Luis Miguel Bergasa,et al. Bidirectional loop closure detection on panoramas for visual navigation , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[8] Hongxun zhang,et al. Fusing Color and Texture Features for Background Model , 2006, FSKD.
[9] Brian C. Lovell,et al. A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts , 2013, EURASIP J. Image Video Process..
[10] J.A. Besada,et al. Airport surface surveillance based on video images , 2005, IEEE Transactions on Aerospace and Electronic Systems.
[11] Duc Phu Chau,et al. Online parameter tuning for object tracking algorithms , 2014, Image Vis. Comput..
[12] Tomi Räty,et al. Survey on Contemporary Remote Surveillance Systems for Public Safety , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[13] Thierry Bouwmans,et al. Fuzzy integral for moving object detection , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).
[14] Matthew N. Dailey,et al. Multiple human tracking in high-density crowds , 2009, Image Vis. Comput..
[15] Luigi di Stefano,et al. Advanced Video-Based Surveillance , 2011, EURASIP J. Image Video Process..
[16] T. E. Easterfield. A Combinatorial Algorithm , 1946 .
[17] Ming-Hsuan Yang,et al. Gender classification with support vector machines , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[18] Ramakant Nevatia,et al. Learning to associate: HybridBoosted multi-target tracker for crowded scene , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[20] Thierry Bouwmans,et al. Background Modeling using Mixture of Gaussians for Foreground Detection - A Survey , 2008 .
[21] 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).
[22] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[23] Thierry Bouwmans,et al. Type-2 Fuzzy Mixture of Gaussians Model: Application to Background Modeling , 2008, ISVC.
[24] Matti Pietikäinen,et al. Performance evaluation of texture measures with classification based on Kullback discrimination of distributions , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[25] Robert B. Fisher,et al. The PETS04 Surveillance Ground-Truth Data Sets , 2004 .
[26] C. Micheloni,et al. A network of co-operative cameras for visual surveillance , 2005 .
[27] Marc Friedman,et al. Video Surveillance for Biometrics: Long-Range Multi-biometric System , 2008, 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance.
[28] Ramakant Nevatia,et al. Tracking multiple humans in crowded environment , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[29] Mubarak Shah,et al. Automated Visual Surveillance in Realistic Scenarios , 2007, IEEE MultiMedia.
[30] Luis Miguel Bergasa,et al. Fast and effective visual place recognition using binary codes and disparity information , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[31] Luis Miguel Bergasa,et al. Towards life-long visual localization using an efficient matching of binary sequences from images , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[32] David Fernández Llorca,et al. Hierarchical camera auto-calibration for traffic surveillance systems , 2014, Expert Syst. Appl..
[33] Z. Zivkovic. Improved adaptive Gaussian mixture model for background subtraction , 2004, ICPR 2004.
[34] Li-Qun Xu. Issues in video analytics and surveillance systems: Research / prototyping vs. applications / user requirements , 2007, AVSS.
[35] Lucia Maddalena,et al. A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications , 2008, IEEE Transactions on Image Processing.
[36] François Brémond,et al. Global tracker: An online evaluation framework to improve tracking quality , 2014, 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[37] Parvaneh Saeedi,et al. Robust region-based background subtraction and shadow removing using color and gradient information , 2008, 2008 19th International Conference on Pattern Recognition.
[38] 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).
[39] Jean-Marc Odobez,et al. Multi-Layer Background Subtraction Based on Color and Texture , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[40] Luis Jiménez,et al. OCULUS surveillance system: Fuzzy on-line speed analysis from 2D images , 2011, Expert Syst. Appl..
[41] Hervé Mathias,et al. Three Novell Analog-Domain Algorithms for Motion Detection in Video Surveillance , 2011, EURASIP J. Image Video Process..
[42] Shihong Lao,et al. Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Ioannis Pavlidis,et al. Urban surveillance systems: from the laboratory to the commercial world , 2001, Proc. IEEE.
[44] Chu Kiong Loo,et al. An Effective Surveillance System Using Thermal Camera , 2009, 2009 International Conference on Signal Acquisition and Processing.
[45] Steven A. Shafer,et al. Anatomy of a color histogram , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[46] Ramakant Nevatia,et al. How does person identity recognition help multi-person tracking? , 2011, CVPR 2011.
[47] Ramakant Nevatia,et al. Multi-target tracking by on-line learned discriminative appearance models , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[48] Andrea Cavallaro,et al. Distributed visual sensing for virtual top-view trajectory generation in football videos , 2008, CIVR '08.
[49] Zygmunt L. Szpak,et al. Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set , 2011, Expert Syst. Appl..
[50] Duc Phu Chau,et al. Automatic tracker selection w.r.t object detection performance , 2014, IEEE Winter Conference on Applications of Computer Vision.
[51] Gurjit Singh Walia,et al. Intelligent video target tracking using an evolutionary particle filter based upon improved cuckoo search , 2014, Expert Syst. Appl..
[52] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[53] Alessio Del Bue,et al. Human behavior analysis in video surveillance: A Social Signal Processing perspective , 2013, Neurocomputing.
[54] Gérard G. Medioni,et al. Tracking Using Motion Patterns for Very Crowded Scenes , 2012, ECCV.
[55] Javier Medina,et al. Intelligent surveillance system with integration of heterogeneous information for intrusion detection , 2011, Expert Syst. Appl..
[56] Chee Seng Chan,et al. iSurveillance: Intelligent framework for multiple events detection in surveillance videos , 2014, Expert Syst. Appl..
[57] Dmitry B. Goldgof,et al. Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms , 2010, IEEE Transactions on Intelligent Transportation Systems.
[58] G.L. Foresti,et al. Active video-based surveillance system: the low-level image and video processing techniques needed for implementation , 2005, IEEE Signal Processing Magazine.
[59] Xiaogang Wang,et al. Intelligent multi-camera video surveillance: A review , 2013, Pattern Recognit. Lett..
[60] Gian Luca Foresti,et al. Active Video-Based Surveillance System , 2005 .