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KDD
2010
ACM
253views Data Mining» more  KDD 2010»
13 years 11 months ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...
ICIP
2005
IEEE
14 years 9 months ago
Flame detection in video using hidden Markov models
This paper proposes a novel method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color cl...
A. Enis Çetin, B. Ugur Töreyin, Yigith...
PR
2008
239views more  PR 2008»
13 years 7 months ago
A real-time object detecting and tracking system for outdoor night surveillance
Autonomous video surveillance and monitoring has a rich history. Many deployed systems are able to reliably track human motion in indoor and controlled outdoor environments. Howev...
Kaiqi Huang, Liangsheng Wang, Tieniu Tan, Stephen ...
ICIP
2009
IEEE
13 years 5 months ago
An efficient and robust sequential algorithm for background estimation in video surveillance
Many computer vision algorithms such as object tracking and event detection assume that a background model of the scene under analysis is known. However, in many practical circums...
Vikas Reddy, Conrad Sanderson, Brian C. Lovell
WACV
2005
IEEE
14 years 1 months ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni