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
- 발행연도
- 2011.11
- 수록면
- 1,566 - 1,571 (6page)
이용수
초록· 키워드
오류제보하기
This paper describes a developing DSM(Driver Status Monitoring) system for monitoring driver’s face direction and eye blinks using image processing. DSM system warns to driver when driver"s face direction and eye blinks get over the limited time. This system using face-image which is shot with a infrared camera(IR camera) for image processing that calculates driver"s face direction and eye blinks.
DSM system hardware consist of IR camera and controller. IR camera takes a face-image which is illumination-robust and suitable for vehicle. controller includes DSP processor which is high performance image processor for image processing and micro controller for connect to vehicle communication network. DSM system includes FSE(Face Sensing Engine) which detect states that are driver"s eye blinks and face direction using face recognition method. The result that FSE Performance is using that warring to driver depends on other vehicle information(speed, steering angle, gear state).
DSM system is estimated using movies that are recorded using five types of glasses in four types of light environment.The results of eight times estimation is shown DSM system which is developed is appropriate at vehicles.
DSM system hardware consist of IR camera and controller. IR camera takes a face-image which is illumination-robust and suitable for vehicle. controller includes DSP processor which is high performance image processor for image processing and micro controller for connect to vehicle communication network. DSM system includes FSE(Face Sensing Engine) which detect states that are driver"s eye blinks and face direction using face recognition method. The result that FSE Performance is using that warring to driver depends on other vehicle information(speed, steering angle, gear state).
DSM system is estimated using movies that are recorded using five types of glasses in four types of light environment.The results of eight times estimation is shown DSM system which is developed is appropriate at vehicles.
목차
Abstract
1. 서론
2. 본론
3. 실차 시험
4. 결론 및 향후 과제
References
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UCI(KEPA) : I410-ECN-0101-2013-556-001414957