Nowadays roads are getting overcrowded and the number of vehicles on the roads is increasing. The main reason is the increase in the population of metro cities, urbanization, and economical development of the country that subsequently led to the increased demand for vehicular travel. Incident detection and Traffic congestion are the serious issues in Traffic engineering applications and Intelligent Transport System. Hence the aim of the proposed system is to build an automatic traffic monitoring system which can replace or reduce manual traffic monitoring. The proposed mathematical Morphogical technique is able to detect and track the moving vehicle from the traffic video in real time and give a message to the traffic control station. The experimental results show that the proposed technique can be adopted under various traffic patterns, weather conditions and illuminations.
목차
Abstract 1. Introduction 2. Related Work 3. Theoretical Background 3.1 Edge Detection 3.2 Change Detection 4. Implementation 5. Experimental Tests and Results 6. Conclusion References
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8 No.8