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» Background Subtraction Based on a Robust Consensus Method
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AVSS
2008
IEEE
14 years 12 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»
14 years 11 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
15 years 4 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
15 years 11 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
15 years 11 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....