Effective object tracking by matching object and background models using active contours

Authors:
Mohand Saïd Allili
Affiliations:
Université du Québec en Outaouais, Département d'Informatique et d'Ingénierie, Gatineau, Québec
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 6
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Abstract

In this paper, we propose an effective approach for tracking distribution of objects. The approach uses a competition between a tracked objet and background distributions using active contours. Only the segmentation of the object in the first frame is required for initialization. We evolve the object contour by assigning pixels in a fashion that maximizes the likelihood of the object versus the background. This maximization is implemented using an EM-like algorithm, which evolves the object contour exactly to its boundaries, and adapts the parameters of the object and background distributions.