Part-template matching-based target detection and identification in UAV videos

Detecting and identifying targets in aerial images has been a challenging problem due to various types of image distortion factors, such as motion of a sensing device, weather variation, scale changes, and dynamic viewpoint. For accurate, robust recognition of objects in unmanned aerial vehicle (UAV) videos, we present a novel target detection and identification algorithm using part-template matching. The proposed method for target detection partitions the target into part-templates by efficient extraction method based on target part regions. We also propose distribution distance measurement-based target identification using the target part-template.