ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:WA-L6.3
Session:Knowledge-Based Image Processing For Classification And Recognition In Surveillance Applications
Time:Wednesday, October 11, 10:20 - 10:40
Presentation: Special Session Lecture
Topic: Special Sessions: Integrating knowledge, semantics and image processing for classification and recognition...
Title: KNOWLEDGE-BASED SUPERVISED LEARNING METHODS IN A CLASSICAL PROBLEM OF VIDEO OBJECT TRACKING
Authors: Lionel Carminati; LaBRI CNRS 
 Jenny Benois-Pineau; LaBRI CNRS 
 Christian Jennewein; LaBRI CNRS 
Abstract: 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 then tracked along the time by a SVM tracker with complete 6 parameters affine model. The method is applied in a video surveillance environment for detection and tracking of frontal view faces. Real time application constraints are met by reduction of support vector set.