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ICIP
2006
IEEE
15 years 11 months ago
Video Surveillance using Dynamic Configuration of Mutiple Active Cameras
In this paper, we present a coordinated video surveillance system that can minimize the spatial limitation and can precisely extract the 3D position of objects. To do this, our sy...
Nyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim
ICPR
2002
IEEE
15 years 11 months ago
Integrated Approach of Multiple Face Detection for Video Surveillance
For applications such as video surveillance and human computer interface, we propose an efficiently integrated method to detect and track faces. Various visual cues are combined t...
Tae-Kyun Kim, Sung-Uk Lee, Jong Ha Lee, Seok-Cheol...
ICMCS
2006
IEEE
215views Multimedia» more  ICMCS 2006»
15 years 4 months ago
Experiential Sampling based Foreground/Background Segmentation for Video Surveillance
Segmentation of foreground and background has been an important research problem arising out of many applications including video surveillance. A method commonly used for segmenta...
Pradeep K. Atrey, Vinay Kumar, Anurag Kumar, Mohan...
WACV
2005
IEEE
15 years 3 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
116
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ICIP
2009
IEEE
14 years 7 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