We overview a previously reported method for spatial-temporal human gesture recognition under degraded environmental conditions using three-dimensional (3D) integral imaging (InIm) technology with correlation filters. The degraded conditions include low illumination environment and occlusion in front of the human gesture. The human gesture is captured by passive integral imaging, the signal is then processed using computational reconstruction algorithms and denoising algorithms to decrease the noise and remove partial occlusion. Gesture recognition is finally processed using correlation filters. Experimental results show that the proposed approach is promising for human gesture recognition under degraded environmental conditions compared with conventional recognition algorithms.

Date Published: 22 May 2019
PDF: 7 pages
Proc. SPIE 10997, Three-Dimensional Imaging, Visualization, and Display 2019, 109970X (22 May 2019); doi: 10.1117/12.2521338

Published in SPIE Proceedings Vol. 10997:
Three-Dimensional Imaging, Visualization, and Display 2019
Bahram Javidi; Jung-Young Son; Osamu Matoba, Editor(s)