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Glimpse and focus: Global and local-scale graph convolution network for skeleton-based action recognition. | LitMetric

Glimpse and focus: Global and local-scale graph convolution network for skeleton-based action recognition.

Neural Netw

School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shanxi, China. Electronic address:

Published: October 2023

AI Article Synopsis

Article Abstract

In the 3D skeleton-based action recognition task, learning rich spatial and temporal motion patterns from body joints are two foundational yet under-explored problems. In this paper, we propose two methods for improving these problems: (I) a novel glimpse-focus action recognition strategy that captures multi-range pose features from the whole body and key body parts jointly; (II) a powerful temporal feature extractor JD-TC that enriches trajectory features by inferring different inter-frame correlations for different joints. By coupling these two proposals, we develop a powerful skeleton-based action recognition system that extracts rich pose and trajectory features from a skeleton sequence and outperforms previous state-of-the-art methods on three large-scale datasets.

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Source
http://dx.doi.org/10.1016/j.neunet.2023.07.051DOI Listing

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