Multi-Agent Deep Reinforcement Learning for Online 3D Human Poses Estimation

Multi-Agent Deep Reinforcement Learning for Online 3D Human Poses Estimation

Most multi-view based human pose estimation techniques assume the cameras are fixed. While in dynamic scenes, the cameras should be able to move and seek the best views to avoid occlusions and extract 3D information of the target collaboratively. In this paper, we address the problem of online view...

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Bibliographic Details
Main Authors:	Zhen Fan, Xiu Li, Yipeng Li
Format:	Article
Language:	English
Published:	MDPI AG 2021-10-01
Series:	Remote Sensing
Subjects:	multi-person online poses estimation multi-agent reinforcement learning consensus panoptic dome
Online Access:	https://www.mdpi.com/2072-4292/13/19/3995

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