Authors :
Prateek Mata; Sanal Sudhakaran; Sagar Pramod; Anith Joy; Prakash Bhise
Volume/Issue :
Volume 6 - 2021, Issue 4 - April
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/2Ry9Uxx
Abstract :
Biometric systems are becoming increasingly
important since they provide more reliable and efficient
means of identity verification. Identification of a person
based on gait has created a sphere of curiosity in the
computer vision domain due to its high recognition
capability even at a far distance with simple
instrumentation. It does not require the cooperation or
even awareness of the individual under observation. Gait
recognition technology has many civilian and highsecurity applications like car parks, banks, military
bases, railway stations and airports. The project aims to
develop an automatic biometric system to identify a
person based on his Gait cycle. We can achieve this by
converting the live video into still frames and applying
feature extracting techniques to get silhouettes from
where we can differentiate different gait cycles. These
gait cycles can then be compared to the already existing
data in the database to identify the subject.
Keywords :
Identification, Cooperation, Security, Gait Cycle, Silhouettes, Database
Biometric systems are becoming increasingly
important since they provide more reliable and efficient
means of identity verification. Identification of a person
based on gait has created a sphere of curiosity in the
computer vision domain due to its high recognition
capability even at a far distance with simple
instrumentation. It does not require the cooperation or
even awareness of the individual under observation. Gait
recognition technology has many civilian and highsecurity applications like car parks, banks, military
bases, railway stations and airports. The project aims to
develop an automatic biometric system to identify a
person based on his Gait cycle. We can achieve this by
converting the live video into still frames and applying
feature extracting techniques to get silhouettes from
where we can differentiate different gait cycles. These
gait cycles can then be compared to the already existing
data in the database to identify the subject.
Keywords :
Identification, Cooperation, Security, Gait Cycle, Silhouettes, Database
