Real-Time Possessing Relationship Detection for Sports Analytics

被引：0
作者：
Xu, Yinda [1 ]
Peng, Yonggang [1 ]
机构：
[1] Zhejiang Univ, Hangzhou 310027, Peoples R China
来源：
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年
关键词：
Visual Object Tracking; Human Pose Estimation; Computer Vision; Deep Learning; Sports Analytics;
D O I：
10.23919/ccc50068.2020.9189516
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we propose a novel algorithm for relationship detection. This task involves the tracking of a target object and human pose. The target object is tracked with a visual object tracker. The human poses are estimated via a keypoint detector while the person identities are preserved with a simple yet effective IoU tracker. Finally, a possessing relationship inference is made based on the position information of the tracked target and humans. This algorithm meets the real-lime requirement by running at over 20 FPS and we give an application illustration in sports analytics.
引用
收藏
页码：7373 / 7378
页数：6
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