Fusion of Color and Shape for Object Tracking under Varying Illumination

In this paper a new technique to perform tracking in cluttered scenarios with varying illumination conditions is presented. The robustness of the approach lies in the integration of appearance and structural information of the object. The fusion is done using the CONDENSATION algorithm that formulates multiple hypothesis about the estimation of the object’s color distribution and validates them taking into account the contour information of the object.

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