Title :
A Frequency Domain Analysis Based Gait Feature Representation
Author :
Mu, Hong-bo ; Yu, Xin-Cen ; Wang, Chong-Jun
Author_Institution :
Dept. of Comput. Sci. & Technol., Nanjing Univ., Nanjing, China
Abstract :
A method for representing gait feature based on frequency domain analysis is proposed. For a gait represented by a sequence of binarized silhouettes, its frequency domain feature is extracted following period detection, contour extraction and unwrapping, distance normalization, 2D Fourier transform, feature frequencies computation and some other procedures. Nearest neighbor classifier is used to test its usefulness for gait recognition purpose, and experiment result, compared with previously conducted research, shows that the proposed gait feature representation is soundly effective.
Keywords :
Fourier transforms; feature extraction; frequency-domain analysis; gait analysis; image recognition; image representation; 2D Fourier transform; binarized silhouettes; contour extraction; distance normalization; feature extraction; frequency domain analysis; gait feature representation; gait recognition; nearest neighbor classifier; period detection; Biometrics; Face recognition; Fourier transforms; Frequency domain analysis; Humans; Nearest neighbor searches; Principal component analysis; Shape; Signal processing; Target recognition;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5364468
