A Lightweight Eagle-Eye-Based Vision System for Target Detection and Recognition
Qiang Fu, Shutai Wang, Jin Wang, Shengnan Liu, Yongbin Sun
Abstract
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.