Data-driven background representation method to video surveillance.
暂无分享,去创建一个
Zhihui Li | Zhaowei Qu | Yingji Xia | Z. Qu | Zhihui Li | Yingji Xia
[1] Tong Liu,et al. A fast recognition algorithm for suspicious behavior in high definition videos , 2015, Multimedia Systems.
[2] Chun Qi,et al. Future-data driven modeling of complex backgrounds using mixture of Gaussians , 2013, Neurocomputing.
[3] Seong-Dae Kim,et al. Dynamic background subtraction via sparse representation of dynamic textures in a low-dimensional subspace , 2016, Signal Image Video Process..
[4] Brendon J. Woodford,et al. A Self-adaptive CodeBook (SACB) model for real-time background subtraction , 2015, Image Vis. Comput..
[5] Zhi Xu,et al. Variant of the region-scalable fitting energy for image segmentation. , 2015, Journal of the Optical Society of America. A, Optics, image science, and vision.
[6] Andrzej Czyzewski,et al. Parallel implementation of background subtraction algorithms for real-time video processing on a supercomputer platform , 2012, Journal of Real-Time Image Processing.
[7] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[8] Felix Naumann,et al. Data fusion , 2009, CSUR.
[9] Alex Pentland,et al. Pfinder: Real-Time Tracking of the Human Body , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Z. Hou,et al. On Data-driven Control Theory: the State of the Art and Perspective: On Data-driven Control Theory: the State of the Art and Perspective , 2009 .
[11] Nigel J. B. McFarlane,et al. Segmentation and tracking of piglets in images , 1995, Machine Vision and Applications.
[12] Jitendra Malik,et al. Ieee Transactions on Pattern Analysis and Machine Intelligence Segmentation of Moving Objects by Long Term Video Analysis , 2022 .
[13] Larry S. Davis,et al. Real-time foreground-background segmentation using codebook model , 2005, Real Time Imaging.
[14] Dilip K Prasad,et al. Online tracking of deformable objects under occlusion using dominant points. , 2013, Journal of the Optical Society of America. A, Optics, image science, and vision.
[15] Lihua Jiang,et al. Analysis of Heavy Metal Sources for Vegetable Soils from Shandong Province, China , 2011 .
[16] Fadi Dornaika,et al. Efficient object detection and tracking in video sequences. , 2012, Journal of the Optical Society of America. A, Optics, image science, and vision.
[17] Boubakeur Boufama,et al. Feature-based active contour model and occluding object detection. , 2016, Journal of the Optical Society of America. A, Optics, image science, and vision.
[18] Shangtai Jin,et al. A Novel Data-Driven Control Approach for a Class of Discrete-Time Nonlinear Systems , 2011, IEEE Transactions on Control Systems Technology.
[19] Rita Cucchiara,et al. Detecting Moving Objects, Ghosts, and Shadows in Video Streams , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[20] G. Choquet. Theory of capacities , 1954 .
[21] Xuhui Bu,et al. Model free adaptive control with data dropouts , 2011, Expert Syst. Appl..
[22] Guoying Zhao,et al. Background Subtraction Based on Low-Rank and Structured Sparse Decomposition , 2015, IEEE Transactions on Image Processing.
[23] The Monte Carlo Simulation of the Electronic Local Properties in the Two-Dimensional Disordered System , 2012 .
[24] Lucia Maddalena,et al. A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications , 2008, IEEE Transactions on Image Processing.
[25] Andrea Fusiello,et al. Patch-Based Background Initialization in Heavily Cluttered Video , 2010, IEEE Transactions on Image Processing.
[26] Lucia Maddalena,et al. A fuzzy spatial coherence-based approach to background/foreground separation for moving object detection , 2010, Neural Computing and Applications.
[27] Marc Van Droogenbroeck,et al. ViBe: A Universal Background Subtraction Algorithm for Video Sequences , 2011, IEEE Transactions on Image Processing.
[28] Vasile Gui,et al. A fast algorithm for background tracking in video surveillance, using nonparametric kernel density estimation , 2005 .
[29] Laure Tougne,et al. Special section on background models comparison , 2014, Comput. Vis. Image Underst..
[30] Antoine Vacavant,et al. A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos , 2014, Comput. Vis. Image Underst..