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Video Human Action Recognition by the Fusion of Significant Motion and Coarse-fine Temporal Granularity Features

2024-04-25

Abstract excerpt

Video human action recognition is an important academic issue, and due to the challenges involved in the problem, such as complex scenes, large changes in spatial scale, and irregular deformation of the identified targets, the algorithm generally has some shortcomings such as large parameter quantities and high computational costs. This paper proposes a new computing framework based on lightweight deep learning mo...

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Literature Corpus work
79007087-2888-5dd8-9b6f-2c10b4d8c829
DOI
10.22541/au.171402583.36303604/v1
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Video Human Action Recognition by the Fusion of Significant Motion and Coarse-fine Temporal Granularity FeaturesDOI 10.22541/au.171402583.36303604/v1
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