In this paper, an algorithm for tracking multiple rigid and non-rigid objects in conditions of occlusions is presented. The proposed method is based on a scalable and adaptive model based on joint information of color and shape. Through a GHT (Generalized Hough Transform) based voting method the center of mass of each object can be determined in real time with a good degree of precision. Quantitative and qualitative results are presented to validate efficiency of the method.
A dynamic model integrating colour and shape information for objects tracking in conditions of occlusion
Regazzoni, CS
2004-01-01
Abstract
In this paper, an algorithm for tracking multiple rigid and non-rigid objects in conditions of occlusions is presented. The proposed method is based on a scalable and adaptive model based on joint information of color and shape. Through a GHT (Generalized Hough Transform) based voting method the center of mass of each object can be determined in real time with a good degree of precision. Quantitative and qualitative results are presented to validate efficiency of the method.
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