Maritime Target Saliency Detection for UAV Based on the Stimulation Competition Selection Mechanism of Raptor Vision
Xiaobin Xu, Yongbin Sun, Haibin Duan, Yimin Deng, Zhigang Zeng
Abstract
A maritime target saliency detection method inspired by the stimulation competition and selection mechanism of raptor vision is presented for the airborne vision system of unmanned aerial vehicle (UAV) in an unknown maritime environment. The stimulation competition and selection mechanism in the visual pathway of raptor vision based on the phenomenon of raptor capturing prey in complex scenes are studied. Then, the mathematical model of the stimulation competition and selection mechanism of raptor vision is established and employed for the salient object detection. Popular image datasets and practical scene datasets are applied to verify the effectiveness of the presented method. Results show that the detection performance of the proposed method is better than that of other comparison methods. The proposed algorithm provides an idea for maritime target salient detection and cross-domain joint mission for UAV or other unmanned equipment.