3D depth camera based human posture detection and recognition using PCNN circuits and learning-based hierarchical classifier

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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Bibliographic Details
Main Authors: Zhuang, Hualiang, Zhao, Bo, Ahmad, Zohair, Chen, Shoushun, Low, Kay-Soon
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/98220
http://hdl.handle.net/10220/12424

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