Human Posture Recognition System Based on Depth Imaging |
Author(s): |
| Amrutha S Nair , Mount Zion College of Engineering |
Keywords: |
| RGB-D Camera, Depth Imaging, Posture Recognition, SVM |
Abstract |
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The proposed system is able to efficiently model human postures by exploiting the method includes 3 main steps: skeleton estimation, feature computation, and posture classification. Firstly, a 3D skeleton is estimated from depth images. Joint-based features are then computed for modeling the observed human pose the depth information captured by an RGB-D camera. Skeleton model is used to represent the current pose. Moreover, system is able to operate efficiently, regardless illumination conditions in an indoor environment, as it is based depth imaging using the infrared sensor of an RGB-D camera. |
Other Details |
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Paper ID: IJSRDV8I70418 Published in: Volume : 8, Issue : 7 Publication Date: 01/10/2020 Page(s): 722-724 |
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