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

• المؤلفون الرئيسيون: Zhuang, Hualiang, Zhao, Bo, Ahmad, Zohair, Chen, Shoushun, Low, Kay-Soon
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/98220; http://hdl.handle.net/10220/12424
• المؤسسة: Nanyang Technological University

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...