Video surveillance system in which trajectory hypothesis spawning allows for trajectory splitting and/or merging
作者： Hai Tao , Yihong Gong , Mei Han
DOI:
关键词:
摘要: A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging includes local pruning managed growth. Hypotheses are scored a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the process object size. Object detection probability is class.
google.com.tr参考文章(43)
Robert Paff, Graphical workstation for integrated security system ,(1992)
Tao Zhao, R. Nevatia, Fengjun Lv, Segmentation and tracking of multiple humans in complex situations computer vision and pattern recognition. ,vol. 2, pp. 194- 201 ,(2001) , 10.1109/CVPR.2001.990958
Jeffrey M. Novak, Automated apparatus and method for object recognition at checkout counters ,(1994)
Takafumi Edanami, Mitsuyo Hasegawa, Automatic monitoring apparatus ,(1997)
Hamid R. Berenji, David Vengrov, Convergent actor critic-based fuzzy reinforcement learning apparatus and method ,(2001)
Tao Zhao, R. Nevatia, Stochastic human segmentation from a static camera ieee workshop on motion and video computing. pp. 9- 14 ,(2002) , 10.1109/MOTION.2002.1182207
Steven W. Smith, Video surveillance system ,(2000)
Lawrence Crain, Emergency action systems including console and security monitoring apparatus ,(1988)
Shintaro Tsuji, Monitor control apparatus ,(1988)
Anthony J. VanZeeland, Video security system with motion sensor override, wireless interconnection, and mobile cameras ,(1991)