Detection Accuracy of Soccer Players in Aerial Images Captured from Several View Points

摘要

To realize real-time vital sensing during exercise using wearable sensors attached to players, a novel multihop routing scheme is required. To solve this problem, image assisted routing that estimates the locations of sensor nodes based on images captured from cameras on UAVs is proposed. However, it is not clear where is the best view points for player detection in aerial images. In this paper, the authors have investigated the detection accuracy according to several view points using aerial images with annotations generated from the CG-based dataset. Experimental results show that the detection accuracy became best when the view points were slightly distant from just above the center of the field. In the best case, the detection accuracy became very good: 0.005524 miss rate at 0.01 FPPI.