Depth-Based Detection of Standing-Pigs in Moving Noise Environments
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jinseong | - |
dc.contributor.author | Chung, Yeonwoo | - |
dc.contributor.author | Choi, Younchang | - |
dc.contributor.author | Sa, Jaewon | - |
dc.contributor.author | Kim, Heegon | - |
dc.contributor.author | Chung, Yongwha | - |
dc.contributor.author | Park, Daihee | - |
dc.contributor.author | Kim, Hakjae | - |
dc.date.accessioned | 2021-09-02T22:09:58Z | - |
dc.date.available | 2021-09-02T22:09:58Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2017-12 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/81249 | - |
dc.description.abstract | In a surveillance camera environment, the detection of standing-pigs in real-time is an important issue towards the final goal of 24-h tracking of individual pigs. In this study, we focus on depth-based detection of standing-pigs with "moving noises", which appear every night in a commercial pig farm, but have not been reported yet. We first apply a spatiotemporal interpolation technique to remove the moving noises occurring in the depth images. Then, we detect the standing-pigs by utilizing the undefined depth values around them. Our experimental results show that this method is effective for detecting standing-pigs at night, in terms of both cost-effectiveness (using a low-cost Kinect depth sensor) and accuracy (i.e., 94.47%), even with severe moving noises occluding up to half of an input depth image. Furthermore, without any time-consuming technique, the proposed method can be executed in real-time. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | FOREGROUND DETECTION | - |
dc.subject | WEIGHT ESTIMATION | - |
dc.subject | IMAGE-ANALYSIS | - |
dc.subject | BEHAVIOR | - |
dc.subject | PEN | - |
dc.subject | SEGMENTATION | - |
dc.subject | EXTRACTION | - |
dc.subject | PIGLETS | - |
dc.title | Depth-Based Detection of Standing-Pigs in Moving Noise Environments | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Yongwha | - |
dc.contributor.affiliatedAuthor | Park, Daihee | - |
dc.identifier.doi | 10.3390/s17122757 | - |
dc.identifier.scopusid | 2-s2.0-85042642841 | - |
dc.identifier.wosid | 000423285800057 | - |
dc.identifier.bibliographicCitation | SENSORS, v.17, no.12 | - |
dc.relation.isPartOf | SENSORS | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 17 | - |
dc.citation.number | 12 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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.subject.keywordPlus | FOREGROUND DETECTION | - |
dc.subject.keywordPlus | WEIGHT ESTIMATION | - |
dc.subject.keywordPlus | IMAGE-ANALYSIS | - |
dc.subject.keywordPlus | BEHAVIOR | - |
dc.subject.keywordPlus | PEN | - |
dc.subject.keywordPlus | SEGMENTATION | - |
dc.subject.keywordPlus | EXTRACTION | - |
dc.subject.keywordPlus | PIGLETS | - |
dc.subject.keywordAuthor | agriculture IT | - |
dc.subject.keywordAuthor | computer vision | - |
dc.subject.keywordAuthor | foreground detection | - |
dc.subject.keywordAuthor | depth information | - |
dc.subject.keywordAuthor | moving noise | - |
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