A Novel and Dynamic Framework for People Counting 
Prabhu.D, Roshni Musaddi, Anny Jaiswal, Nitheesh Varma3
1Prabhu.D*, SRM Institute of Science and Technology, Chennai Department of Computer Science and Engineering.
2Roshni Musaddi, SRM Institute of Science and Technology, Chennai Department of Computer Science and Engineering.
3Anny Jaiswal, SRM Institute of Science and Technology, Chennai Department of Computer Science and Engineering.
4Nitheesh Varma, SRM Institute of Science and Technology, Chennai Department of Computer Science and Engineering.
Manuscript received on March 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 1758-1761 | Volume-9 Issue-4, April 2020. | Retrieval Number: D7440049420/2020©BEIESP | DOI: 10.35940/ijeat.D7440.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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).
Keywords: YOLO-PC, People Counting, CNN.