Gait recognition and their databases

Abstract

This study examines the benefits, challenges and potential applications of gait and action recognition in the field of asset protection. Gait recognition enables the identification of individuals and early detection of potentially dangerous acts without direct contact. Its application facilitates a faster response of the asset protection system to dangerous situations. In a practical sampling, the use of drones to support gait and action recognition will be investigated and analysed to see how they offer a new opportunity in traditional asset protection. Finally, a comparative analysis of datasets supporting the development of gait recognition algorithms and models will be carried out.