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Human gait recognition using extraction and fusion of global motion features

โœ Scribed by Milene Arantes; Adilson Gonzaga


Book ID
106474751
Publisher
Springer US
Year
2010
Tongue
English
Weight
588 KB
Volume
55
Category
Article
ISSN
0942-4962

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Using gait as a biometric is of emerging interest. We describe a new model-based moving feature extraction analysis is presented that automatically extracts and describes human gait for recognition. The gait signature is extracted directly from the evidence gathering process. This is possible by usi