Umesh D

Associate Professor Department of Computer Science, Smt. Indira Gandhi Govt. First Grade Women’s College Sagar Karnataka India, Research Scholar Garden City University Bengaluru

Ramila Rajaleximi P

Assistant Professor Department of Computer Science Garden City University Bengaluru.

Abstract

Gait recognition in the information technology era has aroused academic attention because of its potential usefulness in areas like surveillance and identification. Other kinds of biometrics (facial recognition, fingerprints, etc.) are also utilised for these purposes. People's gait can be utilised as a biometric identifier when they are within a certain proximity to a camera. Clothes, walking pace, carrying situations, and camera angles are just a few examples of what can potentially skew the results of a gait recognition system. In this study, we demonstrate the value of Holistically Nesting edge detection. To guide our feature selection, we utilised a Gait Energy picture with nested edge detection. The outside edge of each silhouette is created using a layered edge detector algorithm that analyses the entire image. Although these processes are applied to all silhouettes, the HED silhouette is built using the Gait energy image. Our results are compared to those fou

Keywords- Contour, Gait Recognition, HED-GEI, CNN, silhouette, Contour,