A target tracking method based on dynamic salient features

被引：0
作者：
Ke, H.C. [1 ]
Chen, J.Z. [2 ]
Wang, H. [3 ]
Sun, H.B. [1 ]
Gu, Q. [4 ]
机构：
[1] School of Computer Technology and Engineering, Changchun Institute of Technology, Changchun
[2] Electrical Engineering College, Northeast Dianli University, Jinlin
[3] College of Computer Science and Engineering, Changchun University of Technology, Changchun
[4] School of Computing Science, University of Glasgow, Glasgow
来源：
Journal of Engineering Science and Technology Review | 2015年 / 8卷 / 04期
关键词：
Dynamic salient features; Feature vectors; Human visual mechanism; Target tracking;
D O I：
10.25103/jestr.084.18
中图分类号：
学科分类号：
摘要：
Given that dealing with blocking of traditional target tracking algorithm is not enough, a target tracking method fused into dynamic salient features is proposed by simulating human visual mechanism to ensure accuracy and efficiency. First, the salient features of the bottom layer image, such as color, intensity, orientation, and motion, are extracted. These features are considered feature vectors fused into target tracking algorithm. An improved target tracking algorithm is proposed because local regional histogram of target is influenced by the background pixels of the background region. Experiment results show that the proposed target tracking algorithm is more accurate than the traditional tracking algorithm in dealing with blocking, thereby meeting the needs of complex scenes. © 2015 Kavala institute of technology.
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收藏
页码：111 / 117
页数：6
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