Title :
An EM-like algorithm for color-histogram-based object tracking
Author :
Zivkovic, Zoran ; Krose, Ben
Author_Institution :
Intelligent & Autonomous Syst. Group, Amsterdam Univ., Netherlands
fDate :
27 June-2 July 2004
Abstract :
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.
Keywords :
covariance matrices; estimation theory; image colour analysis; iterative methods; optimisation; tracking; 5 DOF; 5-degrees of freedom; EM algorithm; color histogram; covariance matrix; iterative procedure; kernel based density function estimation; local mode; mean shift procedure; nonrigid object tracking algorithm; position estimation; robust algorithm; Covariance matrix; Density functional theory; Histograms; Intelligent systems; Iterative algorithms; Iterative methods; Maximum likelihood estimation; Probability density function; Robustness; Shape;
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
Print_ISBN :
0-7695-2158-4
DOI :
10.1109/CVPR.2004.1315113
