3D depth camera based human posture detection and recognition using PCNN circuits and learning-based hierarchical classifier
A new scheme for human posture recognition is proposed based on analysis of key body parts. Utilizing a time-of-flight depth camera, a pulse coupled neural network (PCNN) is employed to detect a moving human in cluttered background. In the posture recognition phase, a hierarchical decision tree is d...
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Main Authors: | Zhuang, Hualiang, Zhao, Bo, Ahmad, Zohair, Chen, Shoushun, Low, Kay-Soon |
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其他作者: | School of Electrical and Electronic Engineering |
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2013
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/98220 http://hdl.handle.net/10220/12424 |
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機構: | Nanyang Technological University |
語言: | English |
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