Biological Eagle-Eye-Based Visual Platform for Target Detection

In this paper, the systematic design and implementation of a biological eagle-eye-based visual platform is presented for target detection. Inspired by the structure and properties of the eagle eye, the hardware configuration of the visual platform is presented, and software programs including image stitching and target detection are developed. The saliency analysis method is adopted to estimate the position of the potential target. The optical triangulation is utilized to obtain the relative azimuth information of the estimated target. Comparative experimental results show that the overall platform is efficient at target detection.