DocumentCode :
2553453
Title :
Gait recognition using gait Gaussian image
Author :
Arora, Parul ; Srivastava, Smriti
Author_Institution :
Netaji Subhas Inst. of Technol., New Delhi, India
fYear :
2015
fDate :
19-20 Feb. 2015
Firstpage :
791
Lastpage :
794
Abstract :
In this paper, we proposed a new spatio-temporal based method for human gait recognition, named as Gait Gaussian Image (GGI). Gait Gaussian image is a period based gait technique, which is used for feature extraction of gait image over a gait cycle. The features derived from GGI are classified through Nearest neighbor method. Simulations and results are calculated on two benchmark datasets i.e. CASIA-B and Soton. Experimental results show the efficiency and effectiveness of the proposed method.
Keywords :
Gaussian processes; feature extraction; gait analysis; image recognition; spatiotemporal phenomena; CASIA-B; GGI; Soton; benchmark datasets; feature extraction; human gait Gaussian image recognition; nearest neighbor method; period based gait technique; spatiotemporal based method; Computational modeling; Databases; Feature extraction; Gait recognition; Image recognition; Legged locomotion; Probes; Gait Gaussian image; Gait cycle; Nearest neighbor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Integrated Networks (SPIN), 2015 2nd International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-5990-7
Type :
conf
DOI :
10.1109/SPIN.2015.7095388
Filename :
7095388
Link To Document :
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