Paper
22 May 2019 An overview of spatial-temporal human gesture recognition under degraded environments using integral imaging
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Abstract
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.
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Xin Shen, Hee-Seung Kim, Satoru Komatsu, Adam Markman, and Bahram Javidi "An overview of spatial-temporal human gesture recognition under degraded environments using integral imaging", Proc. SPIE 10997, Three-Dimensional Imaging, Visualization, and Display 2019, 109970X (22 May 2019); https://doi.org/10.1117/12.2521338
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KEYWORDS
Gesture recognition

Integral imaging

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