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» Tracking in Unstructured Crowded Scenes
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Publication
815views
13 years 3 months ago
Activity Understanding and Unusual Event Detection in Surveillance Videos
Computer scientists have made ceaseless efforts to replicate cognitive video understanding abilities of human brains onto autonomous vision systems. As video surveillance cameras ...
Chen Change Loy
ICPR
2008
IEEE
14 years 8 months ago
Real-time crowd motion analysis
Video-surveillance systems are becoming more and more autonomous in the detection and the reporting of abnormal events. In this context, this paper presents an approach to detect ...
Chabane Djeraba, Nacim Ihaddadene
CVIU
2008
229views more  CVIU 2008»
13 years 7 months ago
Estimating pedestrian counts in groups
The goal of this work is to provide a system which can aid in monitoring crowded urban environments, which often contain tight groups of people. In this paper, we consider the pro...
Prahlad Kilambi, Evan Ribnick, Ajay J. Joshi, Osam...
ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
15 years 10 days ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
AVSS
2005
IEEE
14 years 1 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