Multi-modal user identification and object recognition surveillance system
暂无分享,去创建一个
[1] Hironobu Fujiyoshi,et al. Moving target classification and tracking from real-time video , 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).
[2] Manuele Bicego,et al. Integrated region- and pixel-based approach to background modelling , 2002, Workshop on Motion and Video Computing, 2002. Proceedings..
[3] Qi Tian,et al. Statistical modeling of complex backgrounds for foreground object detection , 2004, IEEE Transactions on Image Processing.
[4] H. Niemann,et al. Adaptive change detection for real-time surveillance applications , 2000, Proceedings Third IEEE International Workshop on Visual Surveillance.
[5] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[6] Sergio Escalera,et al. Spatio-Temporal GrabCut human segmentation for face and pose recovery , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.
[7] Hans-Peter Seidel,et al. Markerless motion capture of interacting characters using multi-view image segmentation , 2011, CVPR 2011.
[8] W. Eric L. Grimson,et al. Learning Patterns of Activity Using Real-Time Tracking , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[9] Radu Bogdan Rusu,et al. Semantic 3D Object Maps for Everyday Manipulation in Human Living Environments , 2010, KI - Künstliche Intelligenz.
[10] Sharath Pankanti,et al. Detection and tracking in the IBM PeopleVision system , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).
[11] Andrew W. Fitzgibbon,et al. KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera , 2011, UIST.
[12] Michael Isard,et al. ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework , 1998, ECCV.
[13] Jonathan H. Connell,et al. A Statistical Approach for Real-time Robust Background Subtrac tion and Shadow Detection , 2014 .
[14] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[15] Kentaro Toyama,et al. Wallflower: principles and practice of background maintenance , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[16] A. Hampapur,et al. Smart video surveillance: exploring the concept of multiscale spatiotemporal tracking , 2005, IEEE Signal Processing Magazine.
[17] Aaron F. Bobick,et al. Recognition of multi-agent interaction in video surveillance , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[18] Larry S. Davis,et al. Non-parametric Model for Background Subtraction , 2000, ECCV.
[19] Timothy F. Cootes,et al. Comparing Active Shape Models with Active Appearance Models , 1999, BMVC.
[20] K. P. Karmann,et al. Moving object recognition using an adaptive background memory , 1990 .
[21] Andrew W. Fitzgibbon,et al. Efficient regression of general-activity human poses from depth images , 2011, 2011 International Conference on Computer Vision.
[22] Donghoon Kim,et al. Face Components Detection Using SURF Descriptors and SVMs , 2008, 2008 International Machine Vision and Image Processing Conference.
[23] Nico Blodow,et al. CAD-model recognition and 6DOF pose estimation using 3D cues , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[24] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[25] Nico Blodow,et al. Fast Point Feature Histograms (FPFH) for 3D registration , 2009, 2009 IEEE International Conference on Robotics and Automation.
[26] Sergio Escalera,et al. Featureweighting in dynamic timewarping for gesture recognition in depth data , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[27] David G. Lowe,et al. Local feature view clustering for 3D object recognition , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[28] 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).
[29] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[30] Yee-Hong Yang,et al. Stationary background generation: An alternative to the difference of two images , 1990, Pattern Recognit..
[31] Andrew W. Fitzgibbon,et al. Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.
[32] Kenneth M. Dawson-Howe. Active Surveillance Using Dynamic Background Subtraction , 1996 .