A probabilistic model for an EM-like object tracking algorithm using color-histograms
نویسندگان
چکیده
In this paper we present a generative probabilistic model of the appearance of a nonrigid object and an iterative procedure for searching for the maximum likelihood (ML) estimate of the position and shape of the tracked object in a new image. The shape of the object in an image is approximated by an ellipse that is described by a full covariance matrix. The appearance of the object is described by a color-histogram. The algorithm is used for tracking persons in image sequences.
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