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» Detecting and Tracking Moving Objects for Video Surveillance
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ICIP
2009
IEEE
16 years 2 months ago
Corner-based Background Segmentation Using Adaptive Resonance Theory
A correct video segmentation, namely the detection of moving objects within a scene plays a very important role in many application in safety, surveillance, trafic monitoring and ...
128
Voted
AVSS
2003
IEEE
15 years 6 months ago
Color-Based Video Stabilization for Real-Time On-Board Object Detection on High-Speed Trains
This paper is concerned with a particular application of image stabilization1 . Image stabilization is a necessary step to reduce the effect of camera motion when, as in this case...
Stefano Piva, Michela Zara, Gianluca Gera, Carlo S...
MM
2005
ACM
152views Multimedia» more  MM 2005»
15 years 7 months ago
Critical video quality for distributed automated video surveillance
Large-scale distributed video surveillance systems pose new scalability challenges. Due to the large number of video sources in such systems, the amount of bandwidth required to t...
Pavel Korshunov, Wei Tsang Ooi
ICIP
2009
IEEE
16 years 2 months ago
Motion-focusing Key Frame Extraction And Video Summarization For Lane Surveillance System
This paper proposes a motion-focusing method to extract key frames and generate summarization synchronously for surveillance videos. Within each pre-segmented video shot, the prop...
CVPR
2008
IEEE
16 years 3 months ago
Geo-spatial aerial video processing for scene understanding and object tracking
This paper presents an approach to extracting and using semantic layers from low altitude aerial videos for scene understanding and object tracking. The input video is captured by...
Jiangjian Xiao, Hui Cheng, Feng Han, Harpreet S. S...