Moving object segmentation and detection for monocular robot based on active contour model

被引：8

作者：

Liu, PR ^{[1
]}

Meng, MQH

Liu, PX

机构：

[1] Chinese Univ Hong Kong, Dept Elect Engn, Shatin, Hong Kong, Peoples R China

[2] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada

来源：

ELECTRONICS LETTERS | 2005年 / 41卷 / 24期

关键词：

D O I：

10.1049/el:20053620

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel geodesic active contour model based on optical flow information is proposed to segment and detect the moving object for monocular robots. More specifically, an active contour is formulated using the level set method which eliminates the need of re-initialisation. The developed scheme alleviates the effect of optical flow noise, increasing the robustness of the detection of moving objects. Experimental results show that this algorithm can successfully track a moving target, e.g. a human being.

引用

页码：1320 / 1322

页数：3

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