A review of real-time human action recognition involving vision sensing

S. Majumder; N. Kehtarnavaz

doi:10.1117/12.2585680

12 April 2021 A review of real-time human action recognition involving vision sensing

S. Majumder, N. Kehtarnavaz

Proceedings Volume 11736, Real-Time Image Processing and Deep Learning 2021; 117360A (2021) https://doi.org/10.1117/12.2585680
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

Human action recognition has been utilized in many applications such as human-computer interaction, video surveillance, assistive living, and gaming. Deployment of human action recognition demands the processing to be carried out in real-time or in a computationally efficient manner. The real-time requirement is addressed by only a subset of the developed methods in the literature. This paper provides a review of computationally efficient human action recognition methods in which a vision sensor is used. The reviewed papers are categorized in terms of conventional and deep learning approaches as well as in terms of single vision and multi-vision modality sensing.

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Citation Download Citation

S. Majumder and N. Kehtarnavaz "A review of real-time human action recognition involving vision sensing", Proc. SPIE 11736, Real-Time Image Processing and Deep Learning 2021, 117360A (12 April 2021); https://doi.org/10.1117/12.2585680

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