Detect-and-Track: Efficient Pose Estimation in Videos

computer vision and pattern recognition, 2018.

Cited by: 117|Bibtex|Views155|DOI:https://doi.org/10.1109/cvpr.2018.00044
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video. We propose an extremely lightweight yet highly effective approach that builds upon the latest advancements in human detection [17] and video understanding [5]. Our method operates in two-stages: keypoint estimation in frames or...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments