Research on Target Tracking Algorithm Based on Parallel Binocular Camera

被引：0

作者：

Xu, Ya'nan ^{[1
]}

Dong, Yue ^{[1
]}

Li, Jieyu ^{[2
]}

Wu, Xianting ^{[3
]}

机构：

[1] Commun Univ China, Informat Engn Coll, Beijing, Peoples R China

[2] Space Star Technol Co Ltd, Satellite Telecommun Dept, Beijing, Peoples R China

[3] Shenyang 40 High Sch, Shenyang, Liaoning, Peoples R China

来源：

PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019) | 2019年

关键词：

binocular vision; camera calibration; stereo matching; target tracking;

D O I：

10.1109/itaic.2019.8785648

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The 3D coordinates have depth information, which improves the accuracy of moving target area acquisition. Therefore, a moving target tracking method based on 3D coordinates is proposed. Firstly, Zhang's calibration algorithm is used to calibrate binocular vision camera; secondly, SAD algorithm is used to extract features of the target, BM algorithm is used to stereo match feature points of the target to determine the 3D coordinates of the center of the moving target; finally, Kalman filter is used to achieve target tracking. Experiments and analysis results show that the algorithm can improve the accuracy of moving object recognition and tracking in left and right views, and has good robustness.

引用

页码：1483 / 1486

页数：4

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