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» Robust motion detector for video surveillance applications
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ICPR
2002
IEEE
15 years 10 months ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain
ICASSP
2011
IEEE
14 years 1 months ago
Detecting human activities in retail surveillance using hierarchical finite state machine
Cashiers in retail stores usually exhibit certain repetitive and periodic activities when processing items. Detecting such activities plays a key role in most retail fraud detecti...
Hoang Trinh, Quanfu Fan, Jiyan Pan, Prasad Gabbur,...
ICMCS
2006
IEEE
215views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Experiential Sampling based Foreground/Background Segmentation for Video Surveillance
Segmentation of foreground and background has been an important research problem arising out of many applications including video surveillance. A method commonly used for segmenta...
Pradeep K. Atrey, Vinay Kumar, Anurag Kumar, Mohan...
ICMCS
2006
IEEE
130views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Video Analysis and Compression on the STI Cell Broadband Engine Processor
With increased concern for physical security, video surveillance is becoming an important business area. Similar camera-based system can also be used in such diverse applications ...
Lurng-Kuo Liu, Sreeni Kesavarapu, Jonathan Connell...
MVA
2002
215views Computer Vision» more  MVA 2002»
14 years 9 months ago
Robust Tracking Algorithm Based on Color and Edge Distribution for Real-time Video Based Motion Capture Systems
This paper describes a robust tracking algorithm for real-time, video based motion capture systems. Conventional motion capture systems are unable to capture motion data in real t...
Yoshiaki Akazawa, Yoshihiro Okada, Koichi Niijima