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» Tracking objects in video using motion and appearance models
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CRV
2005
IEEE
272views Robotics» more  CRV 2005»
13 years 11 months ago
Real-Time Video Surveillance with Self-Organizing Maps
In this paper, we present an approach for video surveillance involving (a) moving object detection, (b) tracking and (c) normal/abnormal event recognition. The detection step uses...
Mohamed Dahmane, Jean Meunier
FGR
2008
IEEE
301views Biometrics» more  FGR 2008»
14 years 3 months ago
3D facial geometry recovery via group-wise optical flow
We describe an algorithm for automatically finding correspondences from face video sequences. This method is useful to many applications such as face tracking, face modeling and ...
Hui Fang, Nicholas Costen, David Cristinacce, John...
CVPR
2005
IEEE
14 years 11 months ago
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
Ying-li Tian, Max Lu, Arun Hampapur
IVC
2002
142views more  IVC 2002»
13 years 8 months ago
Real-time tracking of complex structures with on-line camera calibration
This paper presents a novel three-dimensional model-based tracking system which has been incorporated into a visual servoing system. The tracking system combines modern graphical ...
Tom Drummond, Roberto Cipolla
ICIAP
1999
ACM
14 years 1 months ago
Image Stabilization by Features Tracking
This paper describes a technique for image stabilization in video sequences. The warping that compensates for camera’s motion is computed from tracked features in the images. In...
Alberto Censi, Andrea Fusiello, Vito Roberto