A Survey of Video-based Action Quality Assessment
- URL: http://arxiv.org/abs/2204.09271v1
- Date: Wed, 20 Apr 2022 07:29:00 GMT
- Title: A Survey of Video-based Action Quality Assessment
- Authors: Shunli Wang, Dingkang Yang, Peng Zhai, Qing Yu, Tao Suo, Zhan Sun, Ka
Li, Lihua Zhang
- Abstract summary: Action quality assessment model can reduce the human and material resources spent in action evaluation and reduce subjectivity.
Most of the existing work focuses on sports and medical care.
- Score: 6.654914040895586
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Human action recognition and analysis have great demand and important
application significance in video surveillance, video retrieval, and
human-computer interaction. The task of human action quality evaluation
requires the intelligent system to automatically and objectively evaluate the
action completed by the human. The action quality assessment model can reduce
the human and material resources spent in action evaluation and reduce
subjectivity. In this paper, we provide a comprehensive survey of existing
papers on video-based action quality assessment. Different from human action
recognition, the application scenario of action quality assessment is
relatively narrow. Most of the existing work focuses on sports and medical
care. We first introduce the definition and challenges of human action quality
assessment. Then we present the existing datasets and evaluation metrics. In
addition, we summarized the methods of sports and medical care according to the
model categories and publishing institutions according to the characteristics
of the two fields. At the end, combined with recent work, the promising
development direction in action quality assessment is discussed.
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