Enhanced Two-Stage Multi-person Pose Estimation

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 2019 English Publisher:Springer International Publishing

Authors: Hiroto Honda; Tomohiro Kato; Yusuke Uchida;

doi: 10.1007/978-3-030-11012-3_18

Enhanced Two-Stage Multi-person Pose Estimation

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Abstract

In this paper we introduce an enhanced multi-person pose estimation method for the competition of the PoseTrack [6] workshop in ECCV 2018. We employ a two-stage human pose detector, where human region detection and keypoint detection are separately performed. A strong encoder-decoder network for keypoint detection has achieved 70.4% mAP for PoseTrack 2018 validation dataset.

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