A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Multi-Person Pose Estimation Using an Orientation and Occlusion Aware Deep Learning Network
2020
Sensors
Image based human behavior and activity understanding has been a hot topic in the field of computer vision and multimedia. As an important part, skeleton estimation, which is also called pose estimation, has attracted lots of interests. For pose estimation, most of the deep learning approaches mainly focus on the joint feature. However, the joint feature is not sufficient, especially when the image includes multi-person and the pose is occluded or not fully visible. This paper proposes a novel
doi:10.3390/s20061593
pmid:32178461
pmcid:PMC7146407
fatcat:qb6eh2xhonfi7as7egl47x7yze