Title :
Literature Review: Model Free Human Gait Recognition
Author :
Shirke, Suvarna ; Pawar, S.S. ; Shah, Karan
Author_Institution :
Dept. of Comput. Eng., Univ. of Pune, Pune, India
Abstract :
Human gait recognition is a distance based second generation biometrics, which is unobtrusive. Human gait recognition is nothing but identifying a person from its walking style. Human Cooperation is not required in this biometric system. There are two approaches of gait recognition, which are model based and model free approaches. This paper provides a recent comprehensive survey of only model free gait recognition approach. This survey focuses on motion free gait image representation, dimensionality reduction of extracted feature and classification. Publicly available gait dataset are also discussed. The paper is concluded by listing the research challenges and by giving future direction in model free gait recognition approach.
Keywords :
biometrics (access control); data reduction; feature extraction; gait analysis; image classification; dimensionality reduction; distance based second generation biometrics; extracted feature classification; model free human gait recognition; motion free gait image representation; publicly available gait datasets; unobtrusive biometrics; Biological system modeling; Computational modeling; Databases; Feature extraction; Gait recognition; Legged locomotion; Tensile stress; Human gait recognition; classification; feature extraction; model free; silhouette;
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4799-3069-2
DOI :
10.1109/CSNT.2014.252
