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» Background Subtraction Based on a Robust Consensus Method
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AVSS
2008
IEEE
13 years 9 months ago
Evaluation of Background Subtraction Algorithms with Post-Processing
Processing a video stream to segment foreground objects from the background is a critical first step in many computer vision applications. Background subtraction (BGS) is a common...
Donovan H. Parks, Sidney Fels
MVA
2000
139views Computer Vision» more  MVA 2000»
13 years 8 months ago
Automatic Intruder Detection and Tracking System with Pan-Tilt-Zoom Camera
We propose an automatic monitoring system which detects and tracks intruders, using a pan-tiltzoom camera. Detection is based on a background subtraction method which detects the ...
Tetsuji Haga, Hideto Fujiwara, Kazuhiko Sumi
AVSS
2006
IEEE
14 years 1 months ago
An Online Discriminative Approach to Background Subtraction
We present a simple, principled approach to detecting foreground objects in video sequences in real-time. Our method is based on an on-line discriminative learning technique that ...
Li Cheng, Shaojun Wang, Dale Schuurmans, Terry Cae...
ECCV
2000
Springer
14 years 9 months 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
ECCV
2008
Springer
14 years 9 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....