Fast Human Pose Estimation in Compressed Videos
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada
2. Noah’s Ark Laboratory, Huawei Technologies Canada, Markham, ON, Canada
3. Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6046/10016790/09677941.pdf?arnumber=9677941
Reference59 articles.
1. HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
2. Joint Human Detection and Head Pose Estimation via Multistream Networks for RGB-D Videos
3. Moving Region Segmentation From Compressed Video Using Global Motion Estimation and Markov Random Fields
4. Fast Human Pose Estimation
5. RMPE: Regional Multi-person Pose Estimation
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