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

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

49 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 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	2
ISBN (Electronic)	9781538625231, 9781538625248
ISBN (Print)	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 - Wuxi, China Duration: 14 Sep 2017 → 17 Sep 2017

Conference

Conference	2017 International Smart Cities Conference
Abbreviated title	ISC2 2017
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)

Access to Document

10.1109/ISC2.2017.8090864Licence: Unspecified

Cite this

@inproceedings{6ac01de78e4e4d908193cb5001004854,

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).",

keywords = "Boundary-selection, People-counting, YOLO",

author = "Peiming Ren and Wei Fang and Soufiene Djahel",

note = "Funding Information: ACKNOWLEDGMENT This work was partially supported by the National Natural Science foundation of China (Grant Nos. 61673194, 61105128), Key Research and Development Program of Jiangsu Province, China (Grant No. BE2017630), the Postdoctoral Science Foundation of China (Grant No. 2014M560390), Six Talent Peaks Project of Jiangsu Province (Grant No. DZXX-025), Natural Science Foundation for College and Universities in Jiangsu Province (Project Number: 16KJB520051). Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Smart Cities Conference, ISC2 2017 ; Conference date: 14-09-2017 Through 17-09-2017",

year = "2017",

month = nov,

day = "2",

doi = "10.1109/ISC2.2017.8090864",

language = "English",

isbn = "9781538625255",

booktitle = "2017 International Smart Cities Conference, ISC2 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

TY - GEN

T1 - A Novel YOLO-based Real-time People Counting Approach

AU - Ren, Peiming

AU - Fang, Wei

AU - Djahel, Soufiene

N1 - Funding Information: ACKNOWLEDGMENT This work was partially supported by the National Natural Science foundation of China (Grant Nos. 61673194, 61105128), Key Research and Development Program of Jiangsu Province, China (Grant No. BE2017630), the Postdoctoral Science Foundation of China (Grant No. 2014M560390), Six Talent Peaks Project of Jiangsu Province (Grant No. DZXX-025), Natural Science Foundation for College and Universities in Jiangsu Province (Project Number: 16KJB520051). Publisher Copyright: © 2017 IEEE.

PY - 2017/11/2

Y1 - 2017/11/2

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 - Boundary-selection

KW - People-counting

KW - YOLO

UR - http://www.scopus.com/inward/record.url?scp=85039956451&partnerID=8YFLogxK

U2 - 10.1109/ISC2.2017.8090864

DO - 10.1109/ISC2.2017.8090864

M3 - Conference contribution

AN - SCOPUS:85039956451

SN - 9781538625255

BT - 2017 International Smart Cities Conference, ISC2 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 International Smart Cities Conference

Y2 - 14 September 2017 through 17 September 2017

ER -

A Novel YOLO-based Real-time People Counting Approach

Abstract

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this