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» Tracking objects in video using motion and appearance models
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ACIVS
2008
Springer
14 years 2 months ago
Crowd Behavior Recognition for Video Surveillance
Abstract. Crowd behavior recognition is becoming an important research topic in video surveillance for public places. In this paper, we first discuss the crowd feature selection a...
Shobhit Saxena, François Brémond, Mo...
ICMCS
1999
IEEE
117views Multimedia» more  ICMCS 1999»
14 years 3 days ago
VHS to VRML: 3D Graphical Models from Video Sequences
Abstract-- We describe a method to completely automatically recover 3D scene structure together with a camera for each frame from a sequence of images acquired by an unknown camera...
Andrew Zisserman, Andrew W. Fitzgibbon, Geoffrey C...
ECCV
2008
Springer
14 years 9 months ago
Scene Segmentation for Behaviour Correlation
Abstract. This paper presents a novel framework for detecting abnormal pedestrian and vehicle behaviour by modelling cross-correlation among different co-occurring objects both loc...
Jian Li, Shaogang Gong, Tao Xiang
ECCV
2000
Springer
14 years 9 months ago
Quasi-Random Sampling for Condensation
The problem of tracking pedestrians from a moving car is a challenging one. The Condensation tracking algorithm is appealing for its generality and potential for real-time implemen...
Vasanth Philomin, Ramani Duraiswami, Larry S. Davi...
ICVGIP
2008
13 years 9 months ago
Fragment Based Tracking for Scale and Orientation Adaptation
In this work, we propose a simple yet highly effective algorithm for tracking a target through significant scale and orientation change. We divide the target into a number of frag...
Viswanathan Srikrishnan, Tadinada Nagaraj, Subhasi...