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2006
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Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking

9 years 11 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector Machines. Both problems, detection and tracking, are solved by a common approach: objects are located in video sequences by a SVM classifier. They are next tracked along the time by a SVM tracker with complete 6 parameters affine model. The method is applied in a video surveillance application for detection and tracking of frontal view faces. Real time application constraints are met by reduction of support vector set.
Lionel Carminati, Jenny Benois-Pineau, Christian J
Added 22 Oct 2009
Updated 14 Nov 2009
Type Conference
Year 2006
Where ICIP
Authors Lionel Carminati, Jenny Benois-Pineau, Christian Jennewein
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