Remarkable point extraction from overlapping analysis of view fields in multiple smartphones shooting environment

In this paper, we propose a method of object tracking using viewing directions of multiple spectators' cameras. Attitude sensors in a smartphone can measure its shooting direction on time. By collecting the directions and analyzing the overlapping situation of multiple view fields, a remarkable part of the scene situation can be extracted as the most overlapped area of them. We implemented the analysis by using the blending function with a configuration of interested degree map in the view fields. We adopted it to actual sport scene situations, also, we got good estimation results close to the ground truth.