New adaptive tracking algorithm of non-rigid objects

被引:0
|
作者
Ruan, QQ [1 ]
Guan, HY [1 ]
机构
[1] No Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China
来源
ICSP '98: 1998 FOURTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PROCEEDINGS, VOLS I AND II | 1998年
关键词
non-rigid object; H distance; the pyramid algorithm; zero-crossing detection; object tracking; image sequence analysis;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We describe a contour tracking method based on Hausdorff distance to track non-rigid objects moving in the two-dimensional images. The method operates by extracting two-dimensional templates of the non-rigid objects which vary from one frame to the next, from a sequence of images. The main idea of this method is to decompose the variation of the non-rigid object contour in space into two components: two-dimensional shape changes and two-dimensional motions. The two-dimensional motion components are factored out by the match of the next frame image with the templates which are transformed by a group of transformation such as translation, scaling, and rotation. The two-dimensional shape change components are achieved by setting a proper threshold to allow some biases, so the templates adaptability are improved. The two major assumptions underlying the method are: The two-dimensional motions are in the scope of the images. The two-dimensional shape of the objects will change slowly from one frame to the next. Combined by the pyramid algorithm and zero-crossing detection algorithm, the experiments conducted on human contour tracking are reported.
引用
收藏
页码:940 / 943
页数:4
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