FCML-gait: fog computing and machine learning inspired human identity and gender recognition using gait sequences

• Published in: Signal, image and video processing Vol. 17; no. 4; pp. 925 - 936
• Main Authors: Ahmed, Khalil, Saini, Munish
• Format: Journal Article
• Language: English
• Published: London Springer London 01.06.2023; Springer Nature B.V
• Subjects: Airports; Algorithms; Clustering; Computer Imaging; Computer Science; Cybersecurity; Edge computing; Gait recognition; Image Processing and Computer Vision; Internet of Things; Intrusion; Machine learning; Multimedia Information Systems; Original Paper; Pattern Recognition and Graphics; Performance measurement; Signal,Image and Speech Processing; Support vector machines; Time measurement; Vision; Fog computing; Cloud computing; SURF; Gender recognition; Human identity; Gait; SRML; SVM

Security threats are always there if the human intruders are not identified and recognized well in time in highly security-sensitive environments like the military, airports, parliament houses, and banks. Fog computing and machine learning algorithms on Gait sequences can prove to be better for rest...