Learning Effective Skeletal Representations on RGB Video for Fine-Grained Human Action Quality Assessment

In this paper, we propose an integrated action classification and regression learning framework for the fine-grained human action quality assessment of RGB videos. On the basis of 2D skeleton data obtained per frame of RGB video sequences, we present an effective representation of joint trajectories...

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Bibliographic Details
Main Authors: Qing Lei, Hong-Bo Zhang, Ji-Xiang Du, Tsung-Chih Hsiao, Chih-Cheng Chen
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/9/4/568