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Currently, intelligent security systems are widely deployed in indoor buildings to ensure the safety of people in shopping malls, banks, train stations, and other indoor buildings. Multi-Object Tracking (MOT), as an important component of intelligent security systems, has received much attention from many researchers in recent years. However, existing multi-objective tracking algorithms still suffer from trajectory drift and interruption problems in crowded scenes, which cannot provide valuabledoi:10.3390/s20236745 pmid:33255800 pmcid:PMC7728318 fatcat:faz75l4wrrdt3cdyzxvqneq4by