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» Object Classification and Tracking in Video Surveillance
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ACCV
2010
Springer
13 years 3 months ago
MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian...
VLSISP
2008
239views more  VLSISP 2008»
13 years 7 months ago
An Embedded Real-Time Surveillance System: Implementation and Evaluation
This paper presents the design of an embedded automated digital video surveillance system with real-time performance. Hardware accelerators for video segmentation, morphological op...
Fredrik Kristensen, Hugo Hedberg, Hongtu Jiang, Pe...
ICIP
2002
IEEE
14 years 9 months ago
Likelihood-based object detection and object tracking using color histograms and EM
The topic of this paper is the integration of Expectation Maximization (EM) background modeling and template matching using color histograms as templates to improve person trackin...
Paul J. Withagen, Klamer Schutte, Frans C. A. Groe...
ITNG
2008
IEEE
14 years 2 months ago
Scalable Video Transmission for a Surveillance System
The Area of Interest (AoI) is a distributed scalable video transmission subsystem, for a surveillance system, which concentrates on decrementing the amount of video information tr...
Tomi Räty, Lassi Lehikoinen, François ...
ACCV
2006
Springer
14 years 1 months ago
A Novel Robust Statistical Method for Background Initialization and Visual Surveillance
In many visual tracking and surveillance systems, it is important to initialize a background model using a training video sequence which may include foreground objects. In such a c...
Hanzi Wang, David Suter