A Novel and Dynamic Framework for People Counting

Abstract

A real time person counting from video records is a primary structure coalition for some applications in dense urban areas. Practically speaking, this undertaking typically experiences numerous issues, such as the absence of real time processing of the recorded videos or the event of errors because of insignificant individuals being counted. To defeat the above issues, we propose a novel and dynamic framework for real time people counting named YOLO-PC (People Counting based on YOLO).