Target Counting Method Based on UAV View in Large Area Scenes
In recent years,unmanned aerial vehicles(UAVs)have been widely used in the field of crowd counting due to their high flexibility and maneuverability.However,most of the existing crowd counting methods are based on single viewpoints,with limited studies focusing on multi-viewpoint counting in large-scale,multi-camera scenes.To solve this problem,this paper proposes a UAV-based target counting method which can accurately count the number of targets in a given scene.Specifically,this study selects a sea-front area for data acquisition,utilizes deep learning technology for target detection and image stitching fusion on the acquired images.The detection information is then mapped onto the spliced image,and a counting algorithm is employed to fulfill the counting task for the regional scene.The effectiveness of the counting algorithm based on target detection is validated through experiments conducted on both public dataset and the dataset produced in this paper.
万方数据
维普
