Iterative division and correlograms for detection and tracking of moving objects

Authors:
Rafik Bourezak;Guillaume-Alexandre Bilodeau
Affiliations:
Departement of computer engineering, École Polytechnique de Montréal, Montréal (Québec), Canada;Departement of computer engineering, École Polytechnique de Montréal, Montréal (Québec), Canada
Venue:
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Year:
2006

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Abstract

This paper presents an algorithm for the detection and tracking of moving objects based on color and texture analysis for real time processing. Our goal is to study human interaction by tracking people and objects. The object detection algorithm is based on color histograms and iteratively divided interest regions for motion detection. The tracking algorithm is based on correlograms which combines spectral and spatial information to match detected objects in consecutive frames.