Fuzzy color histogram based kernel tracking under varying illumination

被引：3
|
作者：
Wang, Yongzhong [1 ]
Pan, Quan [1 ]
Zhao, Chunhui [1 ]
Cheng, Yongmei [1 ]
机构：
[1] Northwestern Polytech Univ, Coll Automat, Xian 710072, Peoples R China
来源：
FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/FSKD.2007.319
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A conventional color histogram is sensitive to noisy interference such as lighting changes and quantization errors. Therefore the tracker based on conventional color histogram is unreliable or even failed under varying illumination. In this paper we propose a dynamically corrected fuzzy color histogram based kernel tracking algorithm, which utilizes the local background information around tracking target to dynamically correct its fizzy color histogram model and eliminates the sensitive of conventional color histogram to illumination change and noise. The algorithm is tested on several image sequences and shown that it can smooth the similarity surface and achieve robust and reliable frame-rate tracking results under varying illumination conditions.
引用
收藏
页码：235 / 239
页数：5
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