Improved object tracking with camshift algorithm

被引：0
|
作者：
Ould-Dris, Nouar [1 ]
Ganoun, Ali [1 ]
Canals, Raphael [1 ]
机构：
[1] Univ Orleans, LESI, Orleans, France
来源：
2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13 | 2006年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper, we present a new object tracking approach based on the analysis of a two-dimensional image distribution histogram calculated from two colorimetric channels automatically selected on criteria of representativeness. Among the essential contributions of this work, we can quote a better modelling of the object to track and the management of the target appearance changes during the sequence. Our approach is a prolongation of the CamShift algorithm applications (Continuously Adaptive MeanShift) in order to track object presenting strong modifications of shape and luminosity.
引用
收藏
页码：1905 / 1908
页数：4
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