System and method for object tracking and activity analysis
作者： Ibrahim Burak Ozer
DOI:
关键词: Tracking (particle physics) 、 Object detection 、 Video tracking 、 Heavy traffic 、 Artificial intelligence 、 Geography 、 Computer vision
摘要: Embodiments of the invention relate to methods and systems for providing real-time video surveillance crowded environments. The method consists several object detection tracking processes that may be selected automatically track individual objects or group based on resolution occlusion levels in input videos. Possible interest (OOI) human, animals, cars etc. used people environments heavy traffic conditions.
lens.org 参考文章(14)
Bruce M. Arnio, Douglas H. Tracy, Norman L. Greenman, Michael S. Lunt, Jeffrey B. Otto, Richard C. Berry, Fiber reinforced rubber gasket material ,(1981)
David A. Forsyth, Jean Ponce, Computer Vision: A Modern Approach ,(2002)
William R. Haller, James A. Aman, Multiple object tracking system ,(1999)
Richard P. Foster, Metal composite gasket material ,(1993)
Tsutomu Yamamoto, Masaaki Ashizawa, Yuji Sekiguchi, Kazuo Nishimoto, Compressed non-asbestos sheets ,(1982)
Arun Hampapur, Sharathchandra Pankanti, Andrew Senior, Lisa Brown, Ying-Li Tian, Rudolf Bolle, Selective surveillance system with active sensor management policies ,(2003)
Charles M. Lindeman, Ralph D. Andrew, Asbestos free gasket forming compositions ,(1981)
Hans-Rainer Zerfass, Bernd Spillner, Impregnated flat gasket and method of producing the gasket ,(1992)
Michael H. Brill, Color appearance models Color Research and Application. ,vol. 23, pp. 248- 250 ,(1998) , 10.1002/(SICI)1520-6378(199808)23:4<248::AID-COL9>3.0.CO;2-O
W.E.L. Grimson, C. Stauffer, R. Romano, L. Lee, Using adaptive tracking to classify and monitor activities in a site computer vision and pattern recognition. pp. 22- 29 ,(1998) , 10.1109/CVPR.1998.698583