Title :
Determinants in human gait recognition
Author :
Amin, Tanvir ; Hatzinakos, Dimitrios
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
fDate :
April 29 2012-May 2 2012
Abstract :
Human gait is a complex phenomenon involving the motion of various parts of the body simultaneously in 3 dimensional space. The dynamics of different parts of the body translate the center of gravity from one point to another in the most energy efficient way. These body dynamics as well as the static parameters of different body parts contribute to gait recognition. Studies have been performed to assess the discriminatory power of static and dynamic features. The current research literature, however, lacks the work on the comparative significance of dynamic features from different parts of the body. This paper presents a comparative study for the recognition performance of dynamic features extracted from different parts of human body.
Keywords :
computer vision; feature extraction; gait analysis; image recognition; body dynamics; center of gravity; dynamic features; human gait recognition determinants; recognition performance; static features; Databases; Discrete cosine transforms; Dynamics; Feature extraction; Humans; Iris recognition; Gait recognition; biometrics; feature extraction; gait analysis;
Conference_Titel :
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-1431-2
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2012.6335055