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» Detection of Changes in Surveillance Videos
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ICPR
2010
IEEE
14 years 4 months ago
Exploiting Visual Quasi-Periodicity for Automated Chewing Event Detection Using Active Appearance Models and Support Vector Mach
We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...
Steven Cadavid, Mohamed Abdel-Mottaleb
MVA
2010
181views Computer Vision» more  MVA 2010»
13 years 8 months ago
Human action detection via boosted local motion histograms
This paper presents a novel learning method for human action detection in video sequences. The detecting problem is not limited in controlled settings like stationary background or...
Qingshan Luo, Xiaodong Kong, Guihua Zeng, Jianping...
MM
2010
ACM
252views Multimedia» more  MM 2010»
13 years 10 months ago
Real-time detection of unusual regions in image streams
Automatic and real-time identification of unusual incidents is important for event detection and alarm systems. In today's camera surveillance solutions video streams are dis...
Rene Schuster, Roland Mörzinger, Werner Haas,...
DAGM
2007
Springer
14 years 3 months ago
A Multi-view Camera System for the Generation of Real-Time Occlusion-Free Scene Video
This paper presents a novel multi-view camera system that produces real-time single view scene video which sees through the static objects to observe the dynamic objects. The syste...
Alparslan Yildiz, Yusuf Sinan Akgul
AVSS
2005
IEEE
14 years 3 months ago
Rank-based multisensory fusion in multitarget video tracking
An attractive approach to improve tracking performance for visual surveillance is to use information from multiple visual sensory cues such as position, color, shape, etc. Previou...
Damian M. Lyons, D. Frank Hsu