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» Detecting and Tracking Moving Objects for Video Surveillance
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AVSS
2009
IEEE
15 years 27 days ago
Robust Vehicle Detection for Tracking in Highway Surveillance Videos Using Unsupervised Learning
This paper presents a novel approach to vehicle detection in highway surveillance videos. This method incorporates well-studied computer vision and machine learning techniques to ...
Birgi Tamersoy, Jake K. Aggarwal
CIVR
2009
Springer
169views Image Analysis» more  CIVR 2009»
15 years 6 months ago
Exploiting contextual data for event retrieval in surveillance video
Contextual information is vital for the robust extraction of semantic information in automated surveillance systems. We have developed a scene independent framework for the detect...
Philip Kelly, Ciarán O. Conaire, Noel E. O'...
IPSN
2003
Springer
15 years 5 months ago
Detection, Classification, and Collaborative Tracking of Multiple Targets Using Video Sensors
The study of collaborative, distributed, real-time sensor networks is an emerging research area. Such networks are expected to play an essential role in a number of applications su...
Peshala V. Pahalawatta, Dejan Depalov, Thrasyvoulo...
ICPR
2002
IEEE
15 years 4 months ago
Detecting Automobiles and People for Semantic Video Retrieval
This paper describes a method for detecting automobiles and people in streaming or archived video. Our video object tracking system is based on Kalman filter updating of an active...
Rene Visser, Nicu Sebe, Michael S. Lew
CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen