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» Detecting and Tracking Moving Objects for Video Surveillance
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ICIAR
2005
Springer
15 years 7 months ago
Real-Time and Robust Background Updating for Video Surveillance and Monitoring
Abstract. Background updating is an important aspect of dynamic scene analysis. Two critical problems: sudden camera perturbation and the sleeping person problem, which arise frequ...
Xingzhi Luo, Suchendra M. Bhandarkar
JAISE
2011
238views more  JAISE 2011»
14 years 8 months ago
A bio-inspired system model for interactive surveillance applications
Advances in computer vision and pattern recognition research are leading to video surveillance systems with improved scene analysis capabilities. However, up to now few works have ...
Alessio Dore, Matteo Pinasco, Lorenzo Ciardelli, C...
CRV
2006
IEEE
160views Robotics» more  CRV 2006»
15 years 7 months ago
Multiple-Sensor Indoor Surveillance System
This paper describes a surveillance system that uses a network of sensors of different kind for localizing and tracking people in an office environment. The sensor network consist...
Valery A. Petrushin, Gang Wei, Omer Shakil, Damian...
CRV
2009
IEEE
139views Robotics» more  CRV 2009»
14 years 11 months ago
A Multiple Hypothesis Tracking Method with Fragmentation Handling
In this paper, we present a new multiple hypotheses tracking (MHT) approach. Our tracking method is suitable for online applications, because it labels objects at every frame and ...
Atousa Torabi, Guillaume-Alexandre Bilodeau
TIP
2002
146views more  TIP 2002»
15 years 1 months ago
Tracking nonparameterized object contours in video
We propose a new method for contour tracking in video. The inverted distance transform of the edge map is used as an edge indicator function for contour detection. Using the concep...
Hieu Tat Nguyen, Marcel Worring, Rein van den Boom...