Moving Object Tracking Based on Millimeter-wave Radar and Vision Sensor

被引：18
|
作者：
Huang, Wei [1 ,2 ,3 ]
Zhang, Zhen [1 ,2 ,3 ]
Li, Wentao [1 ,2 ]
Tian, Jiandong [1 ,2 ]
机构：
[1] Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang 110016, Liaoning, Peoples R China
[2] Chinese Acad Sci, Inst Robot & Intelligent Mfg, Shenyang 110016, Liaoning, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
来源：
JOURNAL OF APPLIED SCIENCE AND ENGINEERING | 2018年 / 21卷 / 04期
关键词：
Moving Object Tracking; Sensor Fusion; Adaptive Background Subtraction; Millimeter-wave Radar; Vision Sensor;
D O I：
10.6180/jase.201812_21(4).0014
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Research in moving object tracking has shown significant progress towards application in recent years. However, single sensors suffer from illumination variations for the vision sensor and low directional resolution for the radar. In this paper, we propose a moving object tracking method that fuses radar and vision data. First, false radar objects are filtered out. Second, an adaptive background subtraction method is used to detect candidate regions in images. Finally, moving objects are determined when the effective radar objects are in the candidate regions.
引用
收藏
页码：609 / 614
页数：6
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