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