An Autonomous Target-Tracking Algorithm Based on Visual Feature

被引：0

作者：

Zhao Kun ^{[1
]}

Sun Fengchi ^{[1
]}

Yuan Jing ^{[2
]}

机构：

[1] Nankai Univ, Coll Software, Tianjin 300071, Peoples R China

[2] Nankai Univ, Coll Informat Tech Sci, Tianjin 300071, Peoples R China

来源：

PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年

关键词：

Target tracking; visual feature; SIFT; Camshift;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An autonomous target-tracking algorithm based on visual feature is proposed, which combines the Camshift (Continuously Adaptive Mean-Shift) algorithm with the SIFT(Scale-Invariant Feature Transform) one. SIFT algorithm is stable and it is well suited for tracking the object that contains complex color background and more SIFT points. Camshift algorithm is suited for the case of simplex color. In this paper, the advantages of the two algorithms are fused to implement a real-time system for autonomous moving object detecting and target tracking, which shows good performance in the case with any color distribution. Compared to the traditional separated Camshift and SIFT algorithm, the proposed algorithm is validated by the experiments.

引用

页码：4936 / 4941

页数：6

共 10 条

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