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» A Real-Time Adaptive Thresholding for Video Change Detection
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WACV
2005
IEEE
13 years 10 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
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
14 years 7 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
IPPS
2002
IEEE
13 years 10 months ago
Adaptive Soft Real-Time Java within Heterogeneous Environments
Traditional real-time software development methodologies require full knowledge of the resource capability of target platforms during the development stage. However, such knowledg...
Matt W. Mutka, Ren-Song Ko
ICPR
2000
IEEE
14 years 6 months ago
Detection and Location of People in Video Images Using Adaptive Fusion of Color and Edge Information
A new method of finding people in video images is presented. Detection is based on a novel background modeling and subtraction approach which uses both color and edge information....
Sumer Jabri, Zoran Duric, Harry Wechsler, Azriel R...
ICCCN
2007
IEEE
13 years 11 months ago
Fates: A Granular Approach to Real-Time Anomaly Detection
— Anomaly-based intrusion detection systems have the ability of detecting novel attacks, but in real-time detection, they face the challenges of producing many false alarms and f...
Jeff Janies, Chin-Tser Huang