Gender discrimination, age group classification and carried object recognition from gait energy image using fusion of parallel convolutional neural network

Gender discrimination, age group classification and carried object recognition from gait energy image using fusion of parallel convolutional neural network

Abstract Age and gender are the two key attributes for healthy social interactions, access control, intelligence marketing etc. Likewise, carried object recognition helps in identifying owner of the baggage being abandoned or the person littering in the public places. The above‐mentioned surveillanc...

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Bibliographic Details
Main Authors: Newlin Shebiah Russel, Arivazhagan Selvaraj
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:IET Image Processing
Subjects:
Image recognition
Computer vision and image processing techniques
Neural nets
Online Access:https://doi.org/10.1049/ipr2.12024

Internet

https://doi.org/10.1049/ipr2.12024

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