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ISVC
2005
Springer
15 years 9 months ago
Background Updating for Visual Surveillance
Scene changes such as moved objects, parked vehicles, or opened/closed doors need to be carefully handled so that interesting foreground targets can be detected along with the shor...
Kyungnam Kim, David Harwood, Larry S. Davis
ICIP
2009
IEEE
15 years 1 months ago
Robust object tracking using correspondence voting for smart surveillance visual sensing nodes
This paper presents a bottom-up tracking algorithm for surveillance applications where speed and reliability in the case of multiple matches and occlusions are major concerns. The...
Mayssaa Al Najjar, Soumik Ghosh, Magdy Bayoumi
152
Voted
CVPR
2005
IEEE
16 years 5 months ago
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
Ying-li Tian, Max Lu, Arun Hampapur
ICCV
2001
IEEE
16 years 5 months ago
A Background Model Initialization Algorithm for Video Surveillance
Many motion detection and tracking algorithms rely on the process of background subtraction, a technique which detects changes from a model of the background scene. We present a n...
Daniel Gutchess, Miroslav Trajkovic, Eric Cohen-So...
263
Voted
AVSS
2007
IEEE
15 years 9 months ago
Towards robust face recognition for Intelligent-CCTV based surveillance using one gallery image
In recent years, the use of Intelligent Closed-Circuit Television (ICCTV) for crime prevention and detection has attracted significant attention. Existing face recognition system...
Ting Shan, Shaokang Chen, Conrad Sanderson, Brian ...