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Moving object detection with Kinect v2
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Trinh Thi Doan Pham | - |
| dc.contributor.author | Hai Thanh Nguyen | - |
| dc.contributor.author | Lee, Sungmin | - |
| dc.contributor.author | Won, Chee Sun | - |
| dc.date.accessioned | 2024-09-26T10:30:57Z | - |
| dc.date.available | 2024-09-26T10:30:57Z | - |
| dc.date.issued | 2016 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/24530 | - |
| dc.description.abstract | Kinect v2 provides depth images with reduced noises and holes, which simplifies the pre-processing of eliminating noises and filling holes. This also allows us to detect the moving object with the depth information of Kinect v2 without resorting to RGB image. Based on this a fast moving object detection method for Kinect v2 is presented in this paper. Our method performs very quickly while extracting moving objects accurately. | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | IEEE | - |
| dc.title | Moving object detection with Kinect v2 | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.wosid | 000392398600104 | - |
| dc.identifier.bibliographicCitation | 2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-ASIA (ICCE-ASIA) | - |
| dc.citation.title | 2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-ASIA (ICCE-ASIA) | - |
| dc.type.docType | Proceedings Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.subject.keywordAuthor | Moving object detection | - |
| dc.subject.keywordAuthor | background subtraction | - |
| dc.subject.keywordAuthor | depth image | - |
| dc.subject.keywordAuthor | Kinect V2 | - |
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