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Wu et al., 2019 - Google Patents

Hierarchical dynamic depth projected difference images–based action recognition in videos with convolutional neural networks

Wu et al., 2019

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Document ID
13033590112437787950
Author
Wu H
Ma X
Li Y
Publication year
Publication venue
International Journal of Advanced Robotic Systems

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Snippet

Temporal information plays a significant role in video-based human action recognition. How to effectively extract the spatial–temporal characteristics of actions in videos has always been a challenging problem. Most existing methods acquire spatial and temporal cues in …
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    • G06F17/30781Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F17/30784Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
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