Object Occlusion Detection Using Automatic Camera Calibration for a Wide-Area Video Surveillance System
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, Jaehoon | - |
dc.contributor.author | Yoon, Inhye | - |
dc.contributor.author | Paik, Joonki | - |
dc.date.available | 2019-03-08T12:41:00Z | - |
dc.date.issued | 2016-07 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/6786 | - |
dc.description.abstract | This paper presents an object occlusion detection algorithm using object depth information that is estimated by automatic camera calibration. The object occlusion problem is a major factor to degrade the performance of object tracking and recognition. To detect an object occlusion, the proposed algorithm consists of three steps: (i) automatic camera calibration using both moving objects and a background structure; (ii) object depth estimation; and (iii) detection of occluded regions. The proposed algorithm estimates the depth of the object without extra sensors but with a generic red, green and blue (RGB) camera. As a result, the proposed algorithm can be applied to improve the performance of object tracking and object recognition algorithms for video surveillance systems. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI AG | - |
dc.title | Object Occlusion Detection Using Automatic Camera Calibration for a Wide-Area Video Surveillance System | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/s16070982 | - |
dc.identifier.bibliographicCitation | SENSORS, v.16, no.7 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.wosid | 000380967000040 | - |
dc.identifier.scopusid | 2-s2.0-84975729806 | - |
dc.citation.number | 7 | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 16 | - |
dc.type.docType | Article | - |
dc.publisher.location | 스위스 | - |
dc.subject.keywordAuthor | occlusion detection | - |
dc.subject.keywordAuthor | automatic camera calibration | - |
dc.subject.keywordAuthor | depth estimation | - |
dc.subject.keywordAuthor | moving object detection | - |
dc.subject.keywordAuthor | video surveillance system | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.