A Lightweight Eagle-Eye-Based Vision System for Target Detection and Recognition

被引:5
|
作者
Fu, Qiang [1 ]
Wang, Shutai [1 ]
Wang, Jin [1 ]
Liu, Shengnan [1 ]
Sun, Yongbin [1 ]
机构
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Inst Artificial Intelligence, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
Cameras; Visualization; Object detection; Machine vision; Target recognition; Servomotors; Imaging; Target detection; eagle-eye; lightweight vision system; edge extraction; AMERICAN KESTREL; VISUAL-ACUITY; TRACKING;
D O I
10.1109/JSEN.2021.3120922
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
As we all know, detection and recognition of distant or relatively small targets is a challenging problem. However, the eagle-eye is known for its sharp eyesight, which is called clairvoyance. Inspired by the structural characteristics and physiological mechanism of eagle-eye, a lightweight vision system is designed for target detection and recognition in this paper. First, a hardware platform is established, which consists of a pan-tilt, a short-focus camera and a long-focus camera. Then, combined with the image processing mechanism of the eagle-eye and deep learning, the cameras with different focal lengths are controlled cooperatively to achieve target searching, edge extraction, target detection and recognition. Finally, by separately detecting the targets with different focal length cameras, it can be found that the confidence of the target detection with the long-focus camera is greatly improved. Experimental results show that the designed lightweight eagle-eye vision system can accurately detect and recognize targets, which has a strong adaptive ability.
引用
收藏
页码:26140 / 26148
页数:9
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