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DSTANet: learning a dual-stream model for anomaly driving action detection using spatio-temporal and appearance features

Published Online: 2024-10-24

Published Print: 2024-12

Authors

Peng, Zhonghua

Hu, Rong

Li, Zuoyong

Zeng, Kun
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61972187)

Natural Science Foundation of Fujian Province (2021J011005)
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Text and Data Mining valid from 2024-10-24

Version of Record valid from 2024-10-24
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Article History

Received: 25 April 2024

Accepted: 1 October 2024

First Online: 24 October 2024

Declarations

:

: The authors have no conflict of interest to declare that are relevant to the content of this article

: Written informed consent for publication of this paper was obtained from the Fujian University of Technology and all authors.

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