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IJIG
2002
189views more  IJIG 2002»
13 years 7 months ago
Motion Detection from Time-Varied Background
This paper proposes a new background subtraction method for detecting moving objects from a time-varied background. While background subtraction has traditionally worked well for ...
Ying Ren, Chin-Seng Chua, Yeong-Khing Ho
AVSS
2006
IEEE
14 years 1 months ago
Nonparametric Background Modeling Using the CONDENSATION Algorithm
Background modeling for dynamic scenes is an important problem in the context of real time video surveillance systems. Several nonparametric background models have been proposed t...
Xingzhi Luo, Suchendra M. Bhandarkar, Wei Hua, Hai...
ICIP
2009
IEEE
13 years 5 months ago
K-means based segmentation for real-time zenithal people counting
The paper presents an efficient and reliable approach to automatic people segmentation, tracking and counting, designed for a system with an overhead mounted (zenithal) camera. Up...
Borislav Antic, Dragan Letic, Dubravko Culibrk, Vl...
TCSV
2008
148views more  TCSV 2008»
13 years 7 months ago
Modeling Background and Segmenting Moving Objects from Compressed Video
Abstract--Modeling background and segmenting moving objects are significant techniques for video surveillance and other video processing applications. Most existing methods of mode...
Weiqiang Wang, Jie Yang, Wen Gao
CRV
2005
IEEE
272views Robotics» more  CRV 2005»
13 years 9 months ago
Real-Time Video Surveillance with Self-Organizing Maps
In this paper, we present an approach for video surveillance involving (a) moving object detection, (b) tracking and (c) normal/abnormal event recognition. The detection step uses...
Mohamed Dahmane, Jean Meunier