Biometric based human recognition using gait energy images

Memoona Iftikhar; Seemi  Karim; Saad Rehman; Arslan Shaukat

doi:10.1117/12.2304737

30 April 2018 Biometric based human recognition using gait energy images

Memoona Iftikhar, Seemi Karim, Saad Rehman, Arslan Shaukat

Proceedings Volume 10649, Pattern Recognition and Tracking XXIX; 106490L (2018) https://doi.org/10.1117/12.2304737
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

Biometric identification method is used to assess the characteristics of human behavior by identifying their different parameters. Gait recognition is an active biometric research topic which has many security and surveillance applications, and also can help in early diagnosis of different medical conditions such as Parkinson disease. It has been concluded from Psychological studies that people have slight but substantial capability to distinguish individuals by their gait characteristics. There are different techniques to perform gait recognition, and can be achieved by analyzing data from either imagery or radar sensors. This particular research project however will involve correct identification of a person from person’s gait by using images/video taken at different distances, angle of views and walking speeds of the person. CASIA Gait Recognition Dataset used in this project contains gait energy images. These images are extracted from images frame sequence of walking subject with camera positioned relative to subject, with increments of 18 degrees. Lower part of GEI is used in feature extraction, as it has most dynamic information. Gait signatures of a person created from gait energy images will be used to train artificial neural networks model to correctly classify the subject. Two Back propagation algorithms are compared in terms of performance. Cross-entropy and ROC curves are used as performance criteria for both training algorithms. Our system performs very well in terms of minimization of cross-entropy and classification rate.

Conference Presentation

Citation Download Citation

Memoona Iftikhar, Seemi Karim, Saad Rehman, and Arslan Shaukat "Biometric based human recognition using gait energy images", Proc. SPIE 10649, Pattern Recognition and Tracking XXIX, 106490L (30 April 2018); https://doi.org/10.1117/12.2304737

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available