Title :
Human gait recognition based on motion analysis including ankle to foot angle measurement
Author :
Fathima, S. M H Sithi Shameem ; Banu, R. S D Wahida
Author_Institution :
Electron. & Commun. Eng., SYED Ammal Eng. Coll., Ramanathapuram, India
Abstract :
This paper proposes an intelligent authentication of a human using various feature extraction. In this methodology, the silhouettes are pre processed to remove the noises to attain the extraction of various angles, including ankle to foot. From the head to foot almost six angle values are calculated using skeletonization method . Height and width of the silhouettes are also measured. Using the multi class SVM the effective human gait recognition is obtained.
Keywords :
feature extraction; gait analysis; image motion analysis; image thinning; object recognition; support vector machines; ankle-foot angle measurement; feature extraction; human gait recognition; human intelligent authentication; motion analysis; multiclass SVM; noise removal; silhouettes height; silhouettes width; skeletonization method; Biological system modeling; Computer vision; Feature extraction; Image recognition; Image segmentation; Skeleton; Support vector machines; ankle to foot angle; human gait recognition; multi class SVM; silhoutte; skeletonization;
Conference_Titel :
Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on
Conference_Location :
Kumaracoil
Print_ISBN :
978-1-4673-0211-1
DOI :
10.1109/ICCEET.2012.6203856
