Title :
Identification of Multi-gait Using Spectral Analysis of Gravity Center Track
Author :
Xin Chen ; Tianqi Yang ; Jiaming Xu
Author_Institution :
Dept. of Inf. Sci. & Technol., Jinan Univ., Guangzhou, China
Abstract :
A new interference factor that may influencing accuracy of gait recognition system seriously is addressed in this paper. The gravity center track (GCT) of multi-gait is supposed to be the linear combination of single GCT of each participant. We decompose GCT of multi-gait by Fourier transformation and take the frequency distribution coefficient as the gait feature. As pedestrians will adjust their speed from walking alone to traveling together, we perform speed variation on GCT of single gait before matching with multi-gait. The experimental results show that GCT achieves good recognition effect on multi-gait, and has great robustness to dress.
Keywords :
Fourier transforms; gait analysis; image recognition; pedestrians; spectral analysis; Fourier transformation; GCT; frequency distribution coefficient; gait feature; gait recognition system; gravity center track; interference factor; linear combination; multigait identification; pedestrian; recognition effect; spectral analysis; speed variation; Feature extraction; Gait recognition; Gravity; Interference; Legged locomotion; Radar tracking; Robustness; gravity center track; multi-gait recognition; signal decomposition;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
DOI :
10.1109/ISCID.2014.209
