TY - GEN
T1 - A review of real-time human action recognition involving vision sensing
AU - Majumder, S.
AU - Kehtarnavaz, N.
N1 - Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Human action recognition
KW - Real-time human action recognition
KW - Review of vision-based human action recognition
UR - https://www.scopus.com/pages/publications/85102843854
U2 - 10.1117/12.2585680
DO - 10.1117/12.2585680
M3 - Conference contribution
AN - SCOPUS:85102843854
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Real-Time Image Processing and Deep Learning 2021
A2 - Kehtarnavaz, Nasser
A2 - Carlsohn, Matthias F.
PB - SPIE
T2 - Real-Time Image Processing and Deep Learning 2021
Y2 - 12 April 2021 through 16 April 2021
ER -