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WACV
2005
IEEE
9 years 4 months ago
Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance
Moving object detection is very important for video surveillance. In many environments, motion maybe either interesting (salient) motion (e.g., a person) or uninteresting motion (...
Ying-li Tian, Arun Hampapur
ICIAR
2005
Springer
9 years 4 months ago
Real-Time and Robust Background Updating for Video Surveillance and Monitoring
Abstract. Background updating is an important aspect of dynamic scene analysis. Two critical problems: sudden camera perturbation and the sleeping person problem, which arise frequ...
Xingzhi Luo, Suchendra M. Bhandarkar
CVPR
2005
IEEE
10 years 1 months ago
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
Ying-li Tian, Max Lu, Arun Hampapur
CRV
2005
IEEE
272views Robotics» more  CRV 2005»
9 years 1 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
CVPR
2012
IEEE
7 years 1 months ago
Actionable saliency detection: Independent motion detection without independent motion estimation
We present a model and an algorithm to detect salient regions in video taken from a moving camera. In particular, we are interested in capturing small objects that move independen...
Georgios Georgiadis, Alper Ayvaci, Stefano Soatto
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