고속 영역기반 컨볼루션 신경망을 이용한 개별 돼지의 탐지
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최장민 | - |
dc.contributor.author | 이종욱 | - |
dc.contributor.author | 정용화 | - |
dc.contributor.author | 박대희 | - |
dc.date.accessioned | 2021-09-03T12:37:42Z | - |
dc.date.available | 2021-09-03T12:37:42Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 1229-7771 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/85534 | - |
dc.description.abstract | Abnormal situation caused by aggressive behavior of pigs adversely affects the growth of pigs, and comes with an economic loss in intensive pigsties. Therefore, IT-based video surveillance system is needed to monitor the abnormal situations in pigsty continuously in order to minimize the economic demage. Recently, some advances have been made in pig monitoring; however, detecting each pig is still challenging problem. In this paper, we propose a new color image-based monitoring system for the detection of the individual pig using a fast region-based convolution neural network with consideration of detecting touching pigs in a crowed pigsty. The experimental results with the color images obtained from a pig farm located in Sejong city illustrate the efficiency of the proposed method. | - |
dc.language | Korean | - |
dc.language.iso | ko | - |
dc.publisher | 한국멀티미디어학회 | - |
dc.title | 고속 영역기반 컨볼루션 신경망을 이용한 개별 돼지의 탐지 | - |
dc.title.alternative | Individual Pig Detection using Fast Region-based Convolution Neural Network | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 박대희 | - |
dc.identifier.doi | 10.9717/kmms.2017.20.2.216 | - |
dc.identifier.bibliographicCitation | 멀티미디어학회논문지, v.20, no.2, pp.216 - 224 | - |
dc.relation.isPartOf | 멀티미디어학회논문지 | - |
dc.citation.title | 멀티미디어학회논문지 | - |
dc.citation.volume | 20 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 216 | - |
dc.citation.endPage | 224 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART002203554 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Individual Pig Detection | - |
dc.subject.keywordAuthor | Convolution Neural Network | - |
dc.subject.keywordAuthor | Monitoring System | - |
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