Adaptive evolutional strategy of particle filter for real time object tracking
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nyirarugira, C. | - |
dc.contributor.author | Kim, T.Y. | - |
dc.date.accessioned | 2021-08-12T02:40:40Z | - |
dc.date.available | 2021-08-12T02:40:40Z | - |
dc.date.issued | 2013-01 | - |
dc.identifier.issn | 0747-668X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/48116 | - |
dc.description.abstract | In this paper, we propose an efficient real time tracker that uses a differential evolution strategy within the particle filter framework. Particles are strategically propagated based on the maximum a posterior (most likely) object location with genetic operators. This enables the use of a small sample size and alleviates the frequent sample degeneracy and impoverishment problems encountered in particle filters. We reduce the sample size considerable while improving the trackers accuracy. This makes the proposed tracker a good candidate for real time object tracking or an embedded resource constrained tracker. | - |
dc.format.extent | 2 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE | - |
dc.title | Adaptive evolutional strategy of particle filter for real time object tracking | - |
dc.title.alternative | Adaptive Dynamic Surface Control for Disturbance Attenuation of Nonlinear Systems | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/ICCE.2013.6486784 | - |
dc.identifier.bibliographicCitation | Digest of Technical Papers - IEEE International Conference on Consumer Electronics, v.7, no.6, pp 35 - 36 | - |
dc.identifier.kciid | ART001392830 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000318797800016 | - |
dc.identifier.scopusid | 2-s2.0-84876366457 | - |
dc.citation.endPage | 36 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 35 | - |
dc.citation.title | Digest of Technical Papers - IEEE International Conference on Consumer Electronics | - |
dc.citation.volume | 7 | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | Adaptive control | - |
dc.subject.keywordAuthor | aircraft wing rock motion | - |
dc.subject.keywordAuthor | disturbance attenuation | - |
dc.subject.keywordAuthor | dynamic surface control | - |
dc.subject.keywordPlus | Differential evolution strategy | - |
dc.subject.keywordPlus | Genetic operators | - |
dc.subject.keywordPlus | Maximum a posteriors | - |
dc.subject.keywordPlus | Object location | - |
dc.subject.keywordPlus | Particle filter | - |
dc.subject.keywordPlus | Real-time object tracking | - |
dc.subject.keywordPlus | Real-time tracker | - |
dc.subject.keywordPlus | Small Sample Size | - |
dc.subject.keywordPlus | Consumer electronics | - |
dc.subject.keywordPlus | Distributed computer systems | - |
dc.subject.keywordPlus | Monte Carlo methods | - |
dc.subject.keywordPlus | Signal filtering and prediction | - |
dc.subject.keywordPlus | Target tracking | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
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