지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 대한전자공학회 ICEIC : International Conference on Electronics, Informations and Communications ICEIC : 2010
- 발행연도
- 2010.6
- 수록면
- 245 - 250 (6page)
이용수
초록· 키워드
오류제보하기
In this paper, we have presented a system which performs automatic face detection and tracking using Motion Detection and Principal Component Analysis. The system was implemented with the use of a network camera VB-C50i and MATLAB 7.0. We divided the study into three (3) major stages. The first stage was the motion detection. After motion had been detected, face detection happened and then finally the detected face was tracked down.
The first stage is motion detection. This was performed by setting a threshold for the maximum difference and used this threshold as an indicator for motion. The second stage for this system is face detection. When the system detected the image, the camera automatically captured the image. The captured image was then zoomed in and the possible face region was taken as input data. This possible face region underwent principal component analysis for face detection. After the principal component analysis detected the face, the image was cropped and zoomed in. The final stage is the tracking down of the face as analyzed in the first two stages. Once the system was able to track down the location of the face, it automatically displayed the detected face area. The whole system functioned in such away that it continued to loop every time a motion was detected. The whole system shows the efficiency and accuracy of automatic face detection and tracking with the use of principal component analysis.
The first stage is motion detection. This was performed by setting a threshold for the maximum difference and used this threshold as an indicator for motion. The second stage for this system is face detection. When the system detected the image, the camera automatically captured the image. The captured image was then zoomed in and the possible face region was taken as input data. This possible face region underwent principal component analysis for face detection. After the principal component analysis detected the face, the image was cropped and zoomed in. The final stage is the tracking down of the face as analyzed in the first two stages. Once the system was able to track down the location of the face, it automatically displayed the detected face area. The whole system functioned in such away that it continued to loop every time a motion was detected. The whole system shows the efficiency and accuracy of automatic face detection and tracking with the use of principal component analysis.
목차
Abstract
Ⅰ. Introduction
Ⅱ. Methodology
Ⅲ. Discussion
Ⅳ. Conclusions
References
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
An Automatic Detection and Tracking System of Moving Objects Using Double Difference based Motion Estimation
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2003 .07
-
실시간 비디오 감시 시스템을 위한 다중 물체 검출 및 움직임 추적 기법 개발
제어로봇시스템학회 국내학술대회 논문집
2010 .05
-
Real-Time Smoke Detection Method for Early Detection of Fire in Road Tunnel
ICEIC : International Conference on Electronics, Informations and Communications
2008 .06
-
Unusual Motion Detection for Vision-Based Driver Assistance
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2015 .03
-
모션 벡터의 각도 성분 추정을 통한 카메라 움직임 검출
멀티미디어학회논문지
2018 .09
-
Development of CAN based Automatic Fire Detection System
제어로봇시스템학회 국제학술대회 논문집
2003 .10
-
움직임 정보와 칼라정보 분석을 통한 화재검출 알고리즘
멀티미디어학회논문지
2016 .02
-
칼라정보를 사용한 효율적 자동 전경 움직임 탐지 시스템의 구현
한국컴퓨터정보학회논문지
2017 .06
-
Face Detection by Eye Detection with Progressive Thresholding
제어로봇시스템학회 국제학술대회 논문집
2005 .06
-
터널 화재의 화염 및 연기 검출 기법 연구
대한전자공학회 학술대회
2008 .06
-
Ego-Motion 보정기법을 적용한 쿼드로터의 화재 감지 알고리즘
제어로봇시스템학회 논문지
2015 .01
-
Detection of crossing boundary of safety area
대한토목학회 학술대회
2019 .10
-
Block Based Face Detection Scheme Using Face Color and Motion Information
한국지능시스템학회 논문지
2003 .08
-
Block-based face detection scheme using face color and motion information
대한전자공학회 학술대회
2004 .06
-
Security Camera Processor using One-bit Motion Detection
대한전자공학회 ISOCC
2007 .10
-
Multi-Face Detection on static image using Principle Component Analysis
제어로봇시스템학회 국제학술대회 논문집
2004 .08
이 논문의 저자 정보
이 논문과 함께 이용한 논문
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2012-569-004077173