Designing Compact Convolutional Filters for Lightweight Human Pose Estimation

Algorithm 1

Parallel pose NMS.

Input: the area of the detection boxer , the confidence of the detection boxer , the location of the key point , the confidence of the key point , and parameter . Here, is the -th person, , is the -th key point, and .

Output: the confidence of the key point .

1: Initialize

2: Calculate by equation (6) and parameter , ,

3: Sort , , and in descending order by

4: Calculate using

5: Calculate using

6: Calculate OKS matrix by equation (9) and parameter , ,

7: Update

8: Set

9: Set by repeating times

10: Calculate decay matrix using

11: Set decay

12: Update the confidence of the key point by