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» Robust and Efficient Foreground Analysis for Real-Time Video...
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ICIAR
2009
Springer
13 years 2 months ago
Real-Time Image-Based Motion Detection Using Color and Structure
Abstract. In this paper we propose a method for automating the process of detecting regions of motion in a video sequence in real time. The main idea of this work is to detect moti...
Manali Chakraborty, Olac Fuentes
ICIP
2009
IEEE
13 years 2 months ago
An efficient and robust sequential algorithm for background estimation in video surveillance
Many computer vision algorithms such as object tracking and event detection assume that a background model of the scene under analysis is known. However, in many practical circums...
Vikas Reddy, Conrad Sanderson, Brian C. Lovell
AVSS
2008
IEEE
13 years 6 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
AVSS
2007
IEEE
13 years 11 months ago
Midground object detection in real world video scenes
Traditional video scene analysis depends on accurate background modeling to identify salient foreground objects. However, in many important surveillance applications, saliency is ...
Brian Valentine, Senyo Apewokin, Linda M. Wills, D...
ICMCS
2009
IEEE
150views Multimedia» more  ICMCS 2009»
13 years 2 months ago
Analysis of appearance features for human matching between different fields of view
Human matching between different fields of view is a difficult problem in intelligent video surveillance; whereas fusing multiple features has become a strong tool to solve it. In...
Xiaowei Lv, Qing-Jie Kong, Fei Weng, Yuncai Liu