A real-time algorithm for human action recognition in RGB and thermal video

Hannes Fassold; Karlheinz Gutjahr; Anna Weber; Roland Perko

doi:10.1117/12.2657033

13 June 2023 A real-time algorithm for human action recognition in RGB and thermal video

Hannes Fassold, Karlheinz Gutjahr, Anna Weber, Roland Perko

Proceedings Volume 12528, Real-Time Image Processing and Deep Learning 2023; 1252804 (2023) https://doi.org/10.1117/12.2657033
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Monitoring the movement and actions of humans in video in real-time is an important task. We present a deep learning based algorithm for human action recognition for both RGB and thermal cameras. It is able to detect and track humans and recognize four basic actions (standing, walking, running, lying) in real-time on a notebook with a NVIDIA GPU. For this, it combines state of the art components for object detection (Scaled-YoloV4), optical flow (RAFT) and pose estimation (EvoSkeleton). Qualitative experiments on a set of tunnel videos show that the proposed algorithm works robustly for both RGB and thermal video.

Conference Presentation

Citation Download Citation

Hannes Fassold, Karlheinz Gutjahr, Anna Weber, and Roland Perko "A real-time algorithm for human action recognition in RGB and thermal video", Proc. SPIE 12528, Real-Time Image Processing and Deep Learning 2023, 1252804 (13 June 2023); https://doi.org/10.1117/12.2657033

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