A Novel YOLO-based Real-time People Counting Approach

Peiming Ren; Wei Fang; Soufiene Djahel

doi:10.1109/ISC2.2017.8090864

A Novel YOLO-based Real-time People Counting Approach

Peiming Ren
, Wei Fang
, Soufiene Djahel

Jiangnan University
Manchester Metropolitan University

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

60 Citations (Scopus)

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).

Original language	English
Title of host publication	2017 International Smart Cities Conference (ISC2)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-2
Number of pages	2
ISBN (Electronic)	9781538625248
ISBN (Print)	9781538625231, 9781538625255
DOIs	https://doi.org/10.1109/ISC2.2017.8090864
Publication status	Published - 2 Nov 2017
Externally published	Yes
Event	2017 International Smart Cities Conference (ISC2) - Wuxi, China Duration: 14 Sept 2017 → 17 Sept 2017

Conference

Conference	2017 International Smart Cities Conference (ISC2)
Country/Territory	China
City	Wuxi
Period	14/09/17 → 17/09/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

People-counting
Boundary - selection
YOLO

Access to Document

10.1109/ISC2.2017.8090864

Cite this

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title = "A Novel YOLO-based Real-time People Counting Approach",

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).",

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AU - Fang, Wei

AU - Djahel, Soufiene

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N2 - 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).

AB - 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).

KW - People-counting

KW - Boundary - selection

KW - YOLO

U2 - 10.1109/ISC2.2017.8090864

DO - 10.1109/ISC2.2017.8090864

M3 - Conference proceeding

SN - 9781538625231

SN - 9781538625255

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EP - 2

BT - 2017 International Smart Cities Conference (ISC2)

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

A Novel YOLO-based Real-time People Counting Approach

Abstract

Conference

UN SDGs

Keywords

Access to Document

Fingerprint

Cite this