2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1
An EM-Like Algorithm for Color-Histogram-Based Object Tracking
Washington, D.C., USA
June 27-July 02
ISBN: 0-7695-2158-4
The iterative procedure called ?mean-shift? is a simple robust method for finding the position of a local mode (local maximum) of a kernel-based estimate of a density function. A new robust algorithm is given here that presents a natural extension of the ?mean-shift? procedure. The new algorithm simultaneously estimates the position of the local mode and the covariance matrix that describes the approximate shape of the local mode. We apply the new method to develop a new 5-degrees of freedom (DOF) color histogram based non-rigid object tracking algorithm.
Citation:
Zoran Zivkovic, Ben Kröse, "An EM-Like Algorithm for Color-Histogram-Based Object Tracking," cvpr, vol. 1, pp.798-803, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1, 2004