Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Methods for automatic pedestrian counting

Full metadata record
DC Field Value Language
dc.contributor.authorLee, Gwang-Gook-
dc.contributor.authorKim, Kim, Whoi-Yul-
dc.contributor.authorYoon, Yoon, Ja-Young-
dc.contributor.authorKim, Jae Jun-
dc.date.accessioned2022-10-07T09:49:03Z-
dc.date.available2022-10-07T09:49:03Z-
dc.date.created2022-09-16-
dc.date.issued2008-10-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/171814-
dc.description.abstractPedestrian counting is widely utilized in various surveillance and marketing applications. However, traditional pedestrian counting devices have shortcomings such as that they can manage only one person at a time or they obstruct free movement of pedestrians. In this paper, we introduce our recent research effort for automatic pedestrian counting. Three pedestrian counting methods are introduced which use: (1) a common CCTV input, (2) arrays of IR distance sensors, and (3) an IR line laser. Experiments on real scenes showed that all three methods can count the number of pedestrians with accuracies over 95% and also with very low computational burden.-
dc.language영어-
dc.language.isoen-
dc.titleMethods for automatic pedestrian counting-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Kim, Whoi-Yul-
dc.contributor.affiliatedAuthorKim, Jae Jun-
dc.identifier.scopusid2-s2.0-84876772667-
dc.identifier.bibliographicCitation39th International Symposium on Robotics, ISR 2008, pp.702 - 705-
dc.relation.isPartOf39th International Symposium on Robotics, ISR 2008-
dc.citation.title39th International Symposium on Robotics, ISR 2008-
dc.citation.startPage702-
dc.citation.endPage705-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusComputational burden-
dc.subject.keywordPlusCounting device-
dc.subject.keywordPlusDistance sensors-
dc.subject.keywordPlusMarketing application-
dc.subject.keywordPlusRecent researches-
dc.subject.keywordPlusRobotics-
Files in This Item
There are no files associated with this item.
Appears in
Collections
서울 공과대학 > 서울 건축공학부 > 1. Journal Articles
서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Jae Jun photo

Kim, Jae Jun
COLLEGE OF ENGINEERING (SCHOOL OF ARCHITECTURAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE