A Sequential Estimation Algorithm of Particle Filters by Combination of Multiple Independent Features in Evidence
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, Hoon | - |
dc.contributor.author | Lee, Hyun Su | - |
dc.contributor.author | Kwon, Young-Bin | - |
dc.contributor.author | Park, Ye Hwan | - |
dc.date.available | 2019-03-07T04:40:17Z | - |
dc.date.issued | 2018-06 | - |
dc.identifier.issn | 1598-6446 | - |
dc.identifier.issn | 2005-4092 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/2126 | - |
dc.description.abstract | We investigate a robust sequential estimation algorithm of particle filters, which combine multiple features of visual objects, in order to obtain reliable evidential information from independent sources of sensor data. Most of particle filter algorithms are based on conditional density propagation in Bayesian inference rules. In this paper, it is modified by the conjunctive rule of independent features. Therefore, the proposed algorithm is more reliable since it demonstrates the solution to both efficiency depletion and over-sampling in particle filters. | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS | - |
dc.title | A Sequential Estimation Algorithm of Particle Filters by Combination of Multiple Independent Features in Evidence | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/s12555-016-0644-z | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v.16, no.3, pp 1263 - 1270 | - |
dc.identifier.kciid | ART002349633 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000435832800032 | - |
dc.identifier.scopusid | 2-s2.0-85046900625 | - |
dc.citation.endPage | 1270 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 1263 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | - |
dc.citation.volume | 16 | - |
dc.type.docType | Article | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Multiple features | - |
dc.subject.keywordAuthor | particle filters | - |
dc.subject.keywordAuthor | sensor fusion | - |
dc.subject.keywordAuthor | sequential estimation | - |
dc.subject.keywordAuthor | visual tracking | - |
dc.subject.keywordPlus | MONTE-CARLO | - |
dc.subject.keywordPlus | TRACKING | - |
dc.subject.keywordPlus | CONTOURS | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
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.