Lee, Y.-H. Jeong, M.-H. Lee, J.-J. Jie, M.-S. 2024-01-12T07:52:55Z 2024-01-12T07:52:55Z 2022-03-07 2007-09 0000-0000 https://pubs.kist.re.kr/handle/201004/81434 The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local minima of a similarity measure between the color histograms or kernel density estimates of the target and candidate image. The most typically used similarity measures are the Bhattacharyya coefficient. There are assumptions which limited lighting condition due to color is very sensitive about illuminations. And the algorithm has weakness about inference of another object. In this paper we propose method that combined advantage of color distribution and depth. As apply robust error norm, problems are conquer. The method is useful for face tracking under the dynamic illumination. Also it voids an interference of another object. ？ 2007 SICE. English Society of Instrument and Control Engineers A robust face tracking using stereo camera Conference 10.1109/SICE.2007.4421312 1 SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007, pp.1985 - 1989 SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 1985 1989 US Takamatsu 2007-09-17 Proceedings of the SICE Annual Conference 2-s2.0-50249137795