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Abnormal object detection using second-order spatio-temporal background model : 영상분포의 변화 학습을 통한 불량 검출
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 유석인 | - |
| dc.contributor.author | 차영운 | - |
| dc.date.accessioned | 2019-07-10T05:29:51Z | - |
| dc.date.available | 2019-07-10T05:29:51Z | - |
| dc.date.issued | 2011-02 | - |
| dc.identifier.other | 000000029960 | - |
| dc.identifier.uri | https://hdl.handle.net/10371/159701 | - |
| dc.identifier.uri | http://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000029960 | ko_KR |
| dc.description | 학위논문 (석사)-- 서울대학교 대학원 : 전기. 컴퓨터공학부, 2011.2. 유석인. | - |
| dc.format.extent | v, 40 leaves | - |
| dc.language.iso | eng | - |
| dc.publisher | 서울대학교 대학원 | - |
| dc.subject | 배경 제거 | - |
| dc.subject | 불량 검출 | - |
| dc.subject | 전경 검출 | - |
| dc.subject | 물체 인식 | - |
| dc.subject | 모양 매칭 | - |
| dc.subject | background subtraction | - |
| dc.subject | defect detection | - |
| dc.subject | foreground detection | - |
| dc.subject | object recognition | - |
| dc.subject | shape matching | - |
| dc.title | Abnormal object detection using second-order spatio-temporal background model | - |
| dc.title.alternative | 영상분포의 변화 학습을 통한 불량 검출 | - |
| dc.type | Thesis | - |
| dc.type | Dissertation | - |
| dc.description.degree | Master | - |
| dc.contributor.affiliation | 전기. 컴퓨터공학부 | - |
| dc.date.awarded | 2011-02 | - |
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