A novel YOLO-Based real-time people counting approach

Peiming Ren, PR, Wei Fang, WF and Djahel, SD (2017) A novel YOLO-Based real-time people counting approach. In: 2017 International Smart Cities Conference (ISC2), 14 September 2017 - 17 September 2017, Wuxi, China.

Preview

Download (2MB) | Preview

Official URL: https://www.ieee.org/conferences_events/conference...

Abstract

Real-time people counting from video records is a main building bloc for many applications in smart cities. In practice, this task usually encounters many problems, like the lack of real-time processing of the recorded videos or the occurrence of errors due to irrelevant people being counted. To overcome the above issues, we propose a novel real-time people counting approach dubbed YOLO-PC (YOLO based People Counting).

Item Type:	Conference or Workshop Item (Paper)
Peer-reviewed:	Yes
Date Deposited:	14 Nov 2017 10:18
Additional Information:	This is an Author Accepted Manuscript of a paper presented at 2017 International Smart Cities Conference (ISC2) and published in the proceedings. Published by and copyright IEEE.
Divisions:	Faculties > Science and Engineering Research Centres > Centre for Advanced Computational Science
URI:	https://mmu-uat.leaf.cosector.com/id/eprint/619410
DOI:	https://doi.org/10.1109/ISC2.2017.8090864

Impact and Reach

Statistics

DownloadsShow export options

Activity Overview

6 month trend

3,093Downloads

6 month trend

367Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Actions (login required)

View Item