동영상에서 실시간 얼굴검출에 관한 연구
This paper proposed Residual Image detection and Color Info using the face detection technique. The proposed technique was fast processing speed and high rate of face detection on the video. In addition, this technique is to detection error rate reduced through the calibration tasks for tilted face...
Saved in:
| Published in | 韓國컴퓨터情報學會論文誌 Vol. 15; no. 2; pp. 47 - 53 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | Korean |
| Published |
한국컴퓨터정보학회
2010
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1598-849X 2383-9945 |
Cover
| Abstract | This paper proposed Residual Image detection and Color Info using the face detection technique. The proposed technique was fast processing speed and high rate of face detection on the video. In addition, this technique is to detection error rate reduced through the calibration tasks for tilted face image. The first process is to extract target image from the transmitted video images. Next, extracted image processed by window rotated algorithm for detection of tilted face image. Feature extraction for face detection was used for AdaBoost algorithm. 본 논문은 동영상에서 실시간 얼굴검출을 위하여 Residual Image 검출과 색상정보를 이용한 얼굴검출 기법을 제안하였다. 제안된 기법은 동영상에서 빠른 처리 속도와 높은 얼굴 검출율을 나타냈으며 기울어진 얼굴영상에 대한 보정작업을 통하여 검출 에러율을 줄였다. 실시간으로 전송된 동영상에서 검출의 대상이 되는 정지영상을 추출한다. 추출된 영상은 기울어진 얼굴검출을 위한 window회전 알고리즘을 사용하고 이렇게 보정된 영상은 얼굴 검출에 필요한 특징을 추출하기 위해 AdaBoost알고리즘을 사용하여 실시간으로 얼굴이 검출된 영상을 획득하게 된다. |
|---|---|
| AbstractList | This paper proposed Residual Image detection and Color Info using the face detection technique. The proposed technique was fast processing speed and high rate of face detection on the video. In addition, this technique is to detection error rate reduced through the calibration tasks for tilted face image. The first process is to extract target image from the transmitted video images. Next, extracted image processed by window rotated algorithm for detection of tilted face image. Feature extraction for face detection was used for AdaBoost algorithm. 본 논문은 동영상에서 실시간 얼굴검출을 위하여 Residual Image 검출과 색상정보를 이용한 얼굴검출 기법을 제안하였다. 제안된 기법은 동영상에서 빠른 처리 속도와 높은 얼굴 검출율을 나타냈으며 기울어진 얼굴영상에 대한 보정작업을 통하여 검출 에러율을 줄였다. 실시간으로 전송된 동영상에서 검출의 대상이 되는 정지영상을 추출한다. 추출된 영상은 기울어진 얼굴검출을 위한 window회전 알고리즘을 사용하고 이렇게 보정된 영상은 얼굴 검출에 필요한 특징을 추출하기 위해 AdaBoost알고리즘을 사용하여 실시간으로 얼굴이 검출된 영상을 획득하게 된다. 본 논문은 동영상에서 실시간 얼굴검출을 위하여 Residual Image 검출과 색상정보를 이용한 얼굴검출 기법을 제안하였다. 제안된 기법은 동영상에서 빠른 처리 속도와 높은 얼굴 검출율을 나타냈으며 기울어진 얼굴영상에 대한 보정작업을 통하여 검출 에러율을 줄였다. 실시간으로 전송된 동영상에서 검출의 대상이 되는 정지영상을 추출한다. 추출된 영상은 기울어진 얼굴검출을 위한 window회전 알고리즘을 사용하고 이렇게 보정된 영상은 얼굴 검출에 필요한 특징을 추출하기 위해 AdaBoost알고리즘을 사용하여 실시간으로 얼굴이 검출된 영상을 획득하게 된다. This paper proposed Residual Image detection and Color Info using the face detection technique. The proposed technique was fast processing speed and high rate of face detection on the video. In addition, this technique is to detection error rate reduced through the calibration tasks for tilted face image. The first process is to extract target image from the transmitted video images. Next, extracted image processed by window rotated algorithm for detection of tilted face image. Feature extraction for face detection was used for AdaBoost algorithm. KCI Citation Count: 0 |
| Author | 김형균(Hyeong-Gyun Kim) 배용근(Yong-Guen Bae) |
| Author_xml | – sequence: 1 fullname: 김형균(Hyeong-Gyun Kim) – sequence: 2 fullname: 배용근(Yong-Guen Bae) |
| BackLink | https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001424277$$DAccess content in National Research Foundation of Korea (NRF) |
| BookMark | eNpFjDFLw0AcxQ-pYK39Dl3EKXB3_-RyN5ZatVosSAe345Jc5EhNJdHBrcVuHXTRKnR0dCjSOvmJ4vkdDFYQHvwevB9vG1XSYao3UJUCB0cI16ugKvEEd7grzrdQPc9NgIFRX1CPVZH_df9in8f2bmxnD3Yyb9jpq53Oi8WkYZ8-i9WyeB_Zj3k5Norl6PuxFGaLYvW2gzZjNch1_Y811D9o91tHTrd32Gk1u04iKDjAY6UjojgOA0EY0RxrErhK85izgHku4xjjkLAwVNqDGJjrR1GglNJEUOVDDe2tb9Mslklo5FCZX14MZZLJ5lm_Izln4JXm7tpMTH5tZBrlA3ncPOlRTDDxAcpQweHfS28yc6kjo-RVWVR2K097-23MPMoJBvgBVpFujg |
| ContentType | Journal Article |
| DBID | DBRKI TDB JDI ACYCR |
| DEWEY | 651.8 |
| DatabaseName | DBPIA - 디비피아 Nurimedia DBPIA Journals KoreaScience Korean Citation Index |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Business |
| DocumentTitleAlternate | A Study on Real-time Face Detection in Video |
| DocumentTitle_FL | A Study on Real-time Face Detection in Video |
| EISSN | 2383-9945 |
| EndPage | 53 |
| ExternalDocumentID | oai_kci_go_kr_ARTI_88635 JAKO201017337332983 NODE06528103 |
| GroupedDBID | .UV ALMA_UNASSIGNED_HOLDINGS DBRKI TDB JDI ACYCR M~E |
| ID | FETCH-LOGICAL-k923-38faed1a80cb9161e80e1b4ae8f86b65468000c16ccae53f3647ddbaaae192a73 |
| ISSN | 1598-849X |
| IngestDate | Tue Nov 21 21:30:41 EST 2023 Fri Dec 22 12:01:11 EST 2023 Thu Feb 06 13:25:21 EST 2025 |
| IsOpenAccess | true |
| IsPeerReviewed | false |
| IsScholarly | false |
| Issue | 2 |
| Keywords | real-time face detection detection of tilted face image face detection in video |
| Language | Korean |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-k923-38faed1a80cb9161e80e1b4ae8f86b65468000c16ccae53f3647ddbaaae192a73 |
| Notes | KISTI1.1003/JNL.JAKO201017337332983 G704-001619.2010.15.2.004 |
| OpenAccessLink | http://click.ndsl.kr/servlet/LinkingDetailView?cn=JAKO201017337332983&dbt=JAKO&org_code=O481&site_code=SS1481&service_code=01 |
| PageCount | 7 |
| ParticipantIDs | nrf_kci_oai_kci_go_kr_ARTI_88635 kisti_ndsl_JAKO201017337332983 nurimedia_primary_NODE06528103 |
| PublicationCentury | 2000 |
| PublicationDate | 2010 |
| PublicationDateYYYYMMDD | 2010-01-01 |
| PublicationDate_xml | – year: 2010 text: 2010 |
| PublicationDecade | 2010 |
| PublicationTitle | 韓國컴퓨터情報學會論文誌 |
| PublicationTitleAlternate | Journal of the Korea Society of Computer and Information |
| PublicationYear | 2010 |
| Publisher | 한국컴퓨터정보학회 |
| Publisher_xml | – name: 한국컴퓨터정보학회 |
| SSID | ssib036279256 ssib001107257 ssib044738270 ssib012146333 ssib008451689 ssib053377514 |
| Score | 1.4398625 |
| Snippet | This paper proposed Residual Image detection and Color Info using the face detection technique. The proposed technique was fast processing speed and high rate... 본 논문은 동영상에서 실시간 얼굴검출을 위하여 Residual Image 검출과 색상정보를 이용한 얼굴검출 기법을 제안하였다. 제안된 기법은 동영상에서 빠른 처리 속도와... |
| SourceID | nrf kisti nurimedia |
| SourceType | Open Website Open Access Repository Publisher |
| StartPage | 47 |
| SubjectTerms | 컴퓨터학 |
| Title | 동영상에서 실시간 얼굴검출에 관한 연구 |
| URI | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06528103 http://click.ndsl.kr/servlet/LinkingDetailView?cn=JAKO201017337332983&dbt=JAKO&org_code=O481&site_code=SS1481&service_code=01 https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001424277 |
| Volume | 15 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| ispartofPNX | 한국컴퓨터정보학회논문지, 2010, 15(2), 71, pp.47-53 |
| journalDatabaseRights | – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2383-9945 dateEnd: 99991231 omitProxy: true ssIdentifier: ssib044738270 issn: 1598-849X databaseCode: M~E dateStart: 19960101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV29b9QwFI9KF1gQCBDlo7oBT6egfDiJPSZ3V0pR2-WQyhQ5iVOVq3Ko9IYyoFZ06wALFKSOjAwVapn4i47wP_Czk7uLEBIfYkme_OxnO8-xfy-x3zOMe14eCOVV3LQdkZk0D_DO0UyYWeZZKeAp92113nl1zV9-TFc2vI25C7Sxa2m0m9xPX_zyXMm_aBVp0Ks6JfsXmp0KRQJo6BdXaBjXP9Ix6UWELRHOSa9DOAMqVARza4IHhFs6hRLeaWsqIiGtCd4hvZBEFtiax30SVUkeiagm9EYIsCJf565FtjWPal6XcG8iHExIqwTULh2fThpa55twu1pqpOsByyUhUwQaGukKQ0vlR_cid5LH0_0EERLW0T33dHvRI4hiulRA2PT3i66KTxrJtDykBEq2w5b35LDYNB_sjYq2jijNZ-Ui1YiqHags5HU5VOawJ7rUSBbtSEwdWtVfTeqds2qE__cONxcPzjDSdWhgrK06DYjINTmvXGZOVxyv8WY5jeWjcj5aA5HKifJP3sDX1rs9oEaH2drFLeCliley-rI3w8Aw6J3Gr2ymQjHPQgrYKpK7O8P4ADABd2YOlSgNXObMJnGYA0FQ-cif9g-GnLJutoDHih3AuIvFSMWiwITWwGb9K8bl2qhqhdUbctWYGwyvGcG31x_K9wflq4Py-E15eNIqjz6WRyfj08NW-e7r-Pxs_Hm__HICZmt8tv_9LTIcn47PP103-ku9fmfZrMOEmANYJ6bLciEzWzArTWDr2JJZ0k6okCxnfqLO6sEmslLbx1wlPTdXAROyLBFCSFg3InBvGPPFsJA3jRaXSZ5m0hYiTWmOKSunglppLm3HktzzF4xF3e-4yJ5vxyvho3U1tOwAj8h1Hc7cBaOFBxIP0q1YuW1X981hPNiJYZw-jBkDuoeM6dOKn1UeZeKmVm_9LsNt41K1hUV9B7xjzO_ujORdIOPdZFGPhB9bg43r |
| linkProvider | ISSN International Centre |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%EB%8F%99%EC%98%81%EC%83%81%EC%97%90%EC%84%9C+%EC%8B%A4%EC%8B%9C%EA%B0%84+%EC%96%BC%EA%B5%B4%EA%B2%80%EC%B6%9C%EC%97%90+%EA%B4%80%ED%95%9C+%EC%97%B0%EA%B5%AC&rft.jtitle=%ED%95%9C%EA%B5%AD%EC%BB%B4%ED%93%A8%ED%84%B0%EC%A0%95%EB%B3%B4%ED%95%99%ED%9A%8C%EB%85%BC%EB%AC%B8%EC%A7%80&rft.au=%EA%B9%80%ED%98%95%EA%B7%A0%28Hyeong-Gyun+Kim%29&rft.au=%EB%B0%B0%EC%9A%A9%EA%B7%BC%28Yong-Guen+Bae%29&rft.date=2010&rft.pub=%ED%95%9C%EA%B5%AD%EC%BB%B4%ED%93%A8%ED%84%B0%EC%A0%95%EB%B3%B4%ED%95%99%ED%9A%8C&rft.issn=1598-849X&rft.eissn=2383-9945&rft.volume=15&rft.issue=2&rft.spage=47&rft.epage=53&rft.externalDocID=NODE06528103 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1598-849X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1598-849X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1598-849X&client=summon |