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Action recognition based on adaptive region perception

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Abstract

Temporal modelling is still challenging for action recognition in video. To alleviate this problem, this paper proposes a new video architecture, called Adaptive Region Aware (ARP) network. The network focuses on combining short-range temporal information with long-range temporal information to perform effective action recognition. The core of our ARP is the Movement and Spatial-Temporal module (MST), which is made up of two modules, movement information and Spatial-Temporal information. MST uses the idea of difference for short-range temporal information extraction and adaptive region sensing and temporal convolution for long-range temporal information extraction. To extract temporal information for the entire video, our MST module contains two branches. Specifically, for local temporal information, we use the difference in motion between successive frames to extract a fine-grained representation of the motion, thus obtaining short-range temporal information. For the global temporal information, we use adaptive region awareness for feature extraction of the whole video to enhance the representation of the model in the spatio-temporal domain, and use temporal convolution for modelling to obtain our long-range temporal information. We insert the MST module into ResNet-50 to build our ARP network and experiment on the Something V1, Something V2 and Kinetics-400 datasets with optimal performance.

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Data availibility

The data that support the findings of this study are not openly available due to site restrictions and are available from the corresponding author upon reasonable request “https://20bn.com/datasets/something-something/”.

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Acknowledgements

This work is supported by the Hubei Technology Innovation Project (2019AAA045), the National Natural Science Foundation of China (62171328), the National Natural Science Foundation of China (62171327) and the Graduate Innovative Fund of Wuhan Institute of Technology (CX2021276).

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Authors and Affiliations

  1. Hubei Key Laboratory of Intelligent Robot, Wuhan, 430205, China

    Tongwei Lu, Qi Yang, Feng Min & Yanduo Zhang

  2. School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, 430205, China

    Tongwei Lu, Qi Yang & Feng Min

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  1. Tongwei Lu
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Lu, T., Yang, Q., Min, F. et al. Action recognition based on adaptive region perception. Neural Comput & Applic 36, 943–959 (2024). https://doi.org/10.1007/s00521-023-09069-9

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