Tracking Human Poses with Head Orientation Estimation
DOI:
Author:
Affiliation:

1.School of Information Science and Engineering, University of Jinan,Jinan 250022, China; 2.Jinan Tengyue Electronic Co. Ltd., Jinan 250000, China; 3.Department of Computing, Curtin University, Perth 6102, WA, Australia

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Lots of progress has been made recently on 2D human pose tracking with tracking-by-detection approaches. However, several challenges still remain in this area which is due to self-occlusions and the confusion between the left and right limbs during tracking. In this work, a head orientation detection step is introduced into the tracking framework to serve as a complementary tool to assist human pose estimation. With the face orientation determined, the system can decide whether the left or right side of the human body is exactly visible and infer the state of the symmetric counterpart. By granting a higher priority for the completely visible side, the system can avoid double counting to a great extent when inferring body poses. The proposed framework is evaluated on the HumanEva dataset. The results show that it largely reduces the occurrence of double counting and distinguishes the left and right sides consistently.

    Reference
    Related
    Cited by
Get Citation

TIAN Jinglan, WANG Zhengyuan, LI Ling, LIU Wanquan.[J]. Instrumentation,2017,4(3):40-46

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: January 08,2019
  • Published:
License
  • Copyright (c) 2023 by the authors. This work is licensed under a Creative
  • Creative Commons Attribution-ShareAlike 4.0 International License.