A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity

A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity

Human motion similarity is practiced in many fields, including action recognition, anomaly detection, and human performance evaluation. While many computer vision tasks have benefited from deep learning, measuring motion similarity has attracted less attention, particularly due to the lack of large...

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Bibliographic Details
Main Authors: Jonghyuk Park, Sukhyun Cho, Dongwoo Kim, Oleksandr Bailo, Heewoong Park, Sanghoon Hong, Jonghun Park
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Computer vision
dataset
deep learning
human pose
metric learning
motion similarity
Online Access:https://ieeexplore.ieee.org/document/9366759/

Internet

https://ieeexplore.ieee.org/document/9366759/

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