Title :
Gait recognition and effect of noise on the recognition rate
Author :
Makhdoomi, Nahid A. ; Gunawan, Teddy Surya ; Habaebi, Mohamed Hadi
Author_Institution :
Electr. Comput. Eng. Dept., Int. Islamic Univ. Malaysia, Kuala Lumpur, Malaysia
Abstract :
Gait is defined to be the coordinated, cyclic combination of movements that result in human locomotion. Gait recognition refers to identify a human by the style/way, a person walks in image sequences. The objective of this paper is to implement the traditional gait recognition algorithm and to show the variation in gait recognition when subject is observed parallel to camera under three conditions-walking normal, carrying a bag and wearing a coat. In this work, we are devising a novel method for the purpose of similarity computation rather than the traditional recognition where 78.57% of overall recognition rate was obtained. Furthermore, noise is introduced to evaluate its effect on the recognition rate.
Keywords :
cameras; gait analysis; image recognition; image sequences; biometrcs; camera; carrying-a-bag condition; coordinated cyclic movements combination; gait recognition algorithm; gait recognition variation; human identification; human locomotion; image sequences; noise effect; recognition rate; similarity computation; walking-normal condition; wearing-a-coat condition; Biometrics (access control); Computers; Conferences; Databases; Decision support systems; Educational institutions; Instruments; Human gait; biometrics; gait databases; human identification; silhouettes;
Conference_Titel :
Smart Instrumentation, Measurement and Applications (ICSIMA), 2013 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-0842-4
DOI :
10.1109/ICSIMA.2013.6717927
