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» Background Updating for Visual Surveillance
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ECCV
2000
Springer
15 years 6 days ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
PR
2008
239views more  PR 2008»
13 years 10 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 ...
AVSS
2003
IEEE
14 years 3 months ago
A Distributed Visual Surveillance System
We present a distributed vision-based surveillance system. The system acquires and processes grey level images through one or multiple Camera Units monitoring certain area(s) via ...
Xiaojing Yuan, Zehang Sun, Yaakov L. Varol, George...
SPIEVIP
2008
14 years 23 days ago
Visual surveillance in maritime port facilities
In this work we propose a method for securing port facilities which uses a set of video cameras to automatically detect various vessel classes moving within buffer zones and off-l...
Mikel D. Rodriguez Sullivan, Mubarak Shah
CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
15 years 4 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