Remarkable point extraction from overlapping analysis of view fields in multiple smartphones shooting environment
Remarkable point extraction from overlapping analysis of view fields in multiple smartphones shooting environment
复制标题
多个智能手机拍摄环境下视场重叠分析的显着点提取
DOI：
10.1117/12.2521612
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Fumiaki Motoyama
中科院分区：
文献类型：
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作者：
Shogo Tokai;Fumiaki Motoyama
在本文中，我们提出了一种方法的目标跟踪使用多个观众的摄像机的观看方向。智能手机中的姿态传感器可以及时测量其射击方向。通过采集多个视场的方向信息，分析多个视场的重叠情况，可以提取出场景中显著部分的场景情况，作为多个视场重叠最多的区域。我们通过在视场中配置感兴趣度图，使用混合函数来实现分析。并将其应用于实际的运动场景中，得到了与真实情况接近的估计结果。
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.