A review of visual moving target tracking

被引：102
|
作者：
Pan, Zheng [1 ]
Liu, Shuai [1 ]
Fu, Weina [1 ,2 ]
机构：
[1] Inner Mongolia Univ, Coll Comp Sci, Hohhot 130012, Peoples R China
[2] Inner Mongolia Agr Univ, Coll Comp & Informat Engn, Hohhot 130012, Peoples R China
来源：
MULTIMEDIA TOOLS AND APPLICATIONS | 2017年 / 76卷 / 16期
基金：
中国国家自然科学基金;
关键词：
Computer vision; Visual tracking; Meanshift; Particle filter; Active Contour; Scale-invariant; ROBUST OBJECT TRACKING; REAL-TIME TRACKING; MEAN-SHIFT; CONTOUR TRACKING; PARTICLE FILTER; COMPUTER VISION; HISTOGRAMS; GRADIENT; MODELS;
D O I：
10.1007/s11042-016-3647-0
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recently, computer vision and multimedia understanding become important research domains in computer science. Meanwhile, visual tracking of moving target, one of most important application in computer vision, becomes a highlight today. So, this paper reviews research and technology in this domain. First, background and application of visual tracking is introduced. Then, visual tracking methods are classified by different thinking and technologies. Their positiveness, negativeness and improvement are analyzed deeply. Finally, difficulty in this domain is summarized and future prospect of related fields is presented.
引用
收藏
页码：16989 / 17018
页数：30
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