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CVPR
2007
IEEE
14 years 9 months ago
Multimodal Tracking for Smart Videoconferencing and Video Surveillance
Many applications require the ability to track the 3-D motion of the subjects. We build a particle filter based framework for multimodal tracking using multiple cameras and multip...
Dmitry N. Zotkin, Vikas C. Raykar, Ramani Duraiswa...
ACCV
2006
Springer
14 years 1 months ago
A Multiscale Co-linearity Statistic Based Approach to Robust Background Modeling
Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatio-temporal changes occurring due...
Prithwijit Guha, Dibyendu Palai, K. S. Venkatesh, ...
ICUMT
2009
13 years 5 months ago
Coverage and adaptive scheduling algorithms for criticality management on video wireless sensor networks
In WSN-based surveillance systems power conservation is an important issue but one must also ensure that the application's objectives are met. In this paper, we jointly addres...
Abdallah Makhoul, Rachid Saadi, CongDuc Pham
JAISE
2011
238views more  JAISE 2011»
13 years 2 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...
ICPR
2006
IEEE
14 years 8 months ago
Tracking a Variable Number of Human Groups in Video Using Probability Hypothesis Density
We apply a multi-target recursive Bayes filter, the Probability Hypothesis Density (PHD) filter, to a visual tracking problem: tracking a variable number of human groups in video....
Ya-Dong Wang, Jian-Kang Wu, Ashraf A. Kassim, Weim...