Clustering techniques for human posture recognition: K-Means, FCM and SOM

Clustering techniques for human posture recognition: K-Means, FCM and SOM

An automated surveillance system should have the ability to recognize human behaviour and to warn security personnel of any impending suspicious activity. Human posture is one of the key aspects of analyzing human behaviour. We investigated three clustering techniques to recognize human posture. The...

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Bibliographic Details
Main Authors: Kiran, Maleeha, Lai, Weng Kin, Kyaw Kyaw, Hitke Ali
Format: Proceeding Paper
Language:English
Published: 2009
Subjects:
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/1337/
http://irep.iium.edu.my/1337/1/Clustering_Techniques_for_Human_Posture_Recognition-K-Means%2C_FCM_and_SOM.pdf

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