PT Unknown
AU Jorge Charco
   Angel Sappa
   Boris X. Vintimilla
TI Human Pose Estimation through a Novel Multi-view Scheme
BT 17th International Conference on Computer Vision Theory and Applications (VISAPP 2022)
PY 2022
BP 855
EP 862
VL 5
DE Multi-view Scheme; Human Pose Estimation; Relative Camera Pose; Monocular Approach
AB This paper presents a multi-view scheme to tackle the challenging problem of the self-occlusion in human pose estimation problem. The proposed approach first obtains the human body joints of a set of images, which are captured from different views at the same time. Then, it enhances the obtained joints by using amulti-view scheme. Basically, the joints from a given view are used to enhance poorly estimated joints from another view, especially intended to tackle the self occlusions cases. A network architecture initially proposed for the monocular case is adapted to be used in the proposed multi-view scheme. Experimental results andcomparisons with the state-of-the-art approaches on Human3.6m dataset are presented showing improvements in the accuracy of body joints estimations.
ER