Multi Person Pose Estimation with Attention

被引：0
|
作者：
Sim, Jaekyu [1 ]
Park, Kwanghyun [1 ]
机构：
[1] Kwangwoon Univ, Sch Robot, Seoul, South Korea
来源：
2020 34TH INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN 2020) | 2020年
关键词：
attention; pose; estimation;
D O I：
10.1109/icoin48656.2020.9016604
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The existing pose estimation networks extract confidence maps and Part Affinity Fields (PAFs) from all pixels in images. However, we found that the recognition rate can be decreased due to the background. This limitation arises from the process to extract feature maps from the image. To overcome this limitation, we adopt the attention block in front of the backbone network. To show that our proposed network can reduce the error and increase the precision, we compared PCKh and mAP with the existing pose estimation network.
引用
收藏
页码：513 / 516
页数：4
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