Muhammad Attique Khan1, Awais Khan1, Majed Alhaisoni2, Abdullah Alqahtani3, Ammar Armghan4, Sara A. Althubiti5, Fayadh Alenezi4, Senghour Mey6, Yunyoung Nam6,*
CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5087-5103, 2023, DOI:10.32604/cmc.2023.033856
Abstract Human gait recognition (HGR) is the process of identifying a subject (human) based on their walking pattern. Each subject is a unique walking pattern and cannot be simulated by other subjects. But, gait recognition is not easy and makes the system difficult if any object is carried by a subject, such as a bag or coat. This article proposes an automated architecture based on deep features optimization for HGR. To our knowledge, it is the first architecture in which features are fused using multiset canonical correlation analysis (MCCA). In the proposed method, original video frames are processed for all 11… More >