Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting suspicious background changes in video surveillance of busy scenes
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Moving Target Classification and Tracking from Real-time Video
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Evaluation of global image thresholding for change detection
Pattern Recognition Letters
Thresholding for Change Detection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Foreground object detection from videos containing complex background
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
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Foreground segmentation is usually needed as an initial step in video surveillance applications. Background subtraction is typically used to segment moving regions by comparing each new frame to a model of the scene background. We present a segmentation algorithm that works in real-time and efficiently extracts foreground objects from indoor and outdoor scenes that may contain small environment motions. The model adapts quickly to changes in the video which enables very sensitive detection of moving targets. The evaluation performed shows that this approach reliably extracts the foreground with very low false alarms and false misses.