State-of-the-art video recognition of human action under natural scenes

Yang Yi; Qian Mo; Yihua Chen

doi:10.1117/12.2662221

28 December 2022 State-of-the-art video recognition of human action under natural scenes

Yang Yi, Qian Mo, Yihua Chen

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Proceedings Volume 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022); 125063A (2022) https://doi.org/10.1117/12.2662221
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, Beijing, China

Abstract

Human action video recognition focuses on discussing the theories and new algorithms to make computers understand the meanings of variety videos, such as those from TV, sports or family videos, and recently it plays an important role in advanced human-machine interface, security monitor, video retrieval and so on. The step-by-step process of traditional computational algorithm for human action recognition from videos are described in this paper, and some important deep learning models are also addressed by which some advantages and disadvantages of each approach in different tasks are analysed. Finally, some current trends and prospects of video recognition models are concluded.

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Yang Yi, Qian Mo, and Yihua Chen "State-of-the-art video recognition of human action under natural scenes", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 125063A (28 December 2022); https://doi.org/10.1117/12.2662221

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