Object tracking by adaptive modeling

被引：0
|
作者：
Rares, A [1 ]
Reinders, MJT [1 ]
机构：
[1] Delft Univ Technol, Informat & Commun Theory Grp, Fac Informat Technol & Syst, NL-2600 AA Delft, Netherlands
来源：
2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS | 2000年
关键词：
D O I：
10.1109/ICIP.2000.899298
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tracked throughout the sequence by using a blob-like description of its features. The object features are continuously updated by using the on-line version of the Expectation-Maximization algorithm. The proposed abject description results in a flexible representation.
引用
收藏
页码：74 / 77
页数：4
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