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» Tracking objects in video using motion and appearance models
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CVPR
2007
IEEE
14 years 11 months ago
Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection
Tracking objects using the mean shift method is performed by iteratively translating a kernel in the image space such that the past and current object observations are similar. Tr...
Alper Yilmaz
DICTA
2007
13 years 10 months ago
Interactive 3D Model Completion
A common problem when using automated structure from motion techniques is that the object to be modelled can only be partially reconstructed from the video. This can occur because...
Anton van den Hengel, Anthony R. Dick, Thorsten Th...
ICIP
2003
IEEE
14 years 10 months ago
Statistical modeling for facial expression analysis and synthesis
Facial expression interpretation, recognition and analysis is a key issue in visual communication and man to machine interaction. In this paper, we present a technique for extract...
Bouchra Abboud, Franck Davoine, M. Dang
DAGM
2008
Springer
13 years 11 months ago
Efficient Tracking as Linear Program on Weak Binary Classifiers
This paper demonstrates how a simple, yet effective, set of features enables to integrate ensemble classifiers in optical flow based tracking. In particular, gray value differences...
Michael Grabner, Christopher Zach, Horst Bischof
ICCV
2001
IEEE
14 years 11 months ago
A Background Model Initialization Algorithm for Video Surveillance
Many motion detection and tracking algorithms rely on the process of background subtraction, a technique which detects changes from a model of the background scene. We present a n...
Daniel Gutchess, Miroslav Trajkovic, Eric Cohen-So...