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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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/1337/1/Clustering_Techniques_for_Human_Posture_Recognition-K-Means%2C_FCM_and_SOM.pdf http://irep.iium.edu.my/1337/ |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English |