A Moving Object Detection Algorithm in Binocular Stereo Vision

被引：0

作者：

Jia Zhen-hua ^{[1
]}

Yang Li-juan ^{[1
]}

Zhang Chun-e ^{[1
]}

机构：

[1] N China Inst Astronaut Engn, Dept Comp Sci & Engn, Langfang 065000, Peoples R China

来源：

ICAIE 2009: PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND EDUCATION, VOLS 1 AND 2 | 2009年

关键词：

Moving object detection; binocular stereo vision; computer vision; stereo image;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Moving object detection is an important part of computer vision research area. The traditional detection algorithms based on monocular computer vision are restricted by environment and convergent speed, and can't solve the shelter problem between multi-objects. According to these questions, a stereo vision algorithm is proposed. In this algorithm, a series of stereo images using a binocular camera are obtained firstly. And then analyzed these obtained images using a stereo vision method. It has been shown by experimentation that this algorithm can detect the moving object correctly, without interfering with light shade and the shelter problem.

引用

页码：753 / 757

页数：5