In order to prevent the moving vehicle shadows from being wrongly detected as the target, a shadow detection algorithm fusing chromaticity, brightness and edge gradient information is proposed in this paper. Specifically, shadow feature image is established according to the variation proportions of the chromaticity and the brightness of the foreground and the background of the moving target, and then the area with the maximum chromaticity is regarded as the vehicle search start point to gradually absorb the surrounding areas with the richest edge gradient so as to form the vehicle body area, and then remaining area of the foreground not containing the vehicle body is regarded as the shadow candidate area, and then the region growing method is adopted to obtain various shadow sub-areas for integration so as to form the vehicle shadow area. The experiment result shows that this method has the advantages of little manual intervention, high shadow detection rate, etc.
목차
Abstract 1. Introduction 2. Establishment of Shadow Feature Image 3. Judgment of Shadow Direction 4. Selection of Shadow Candidate Area 5. Detection of Shadow Area 6. Shadow Detection Algorithm Flow 7. Experiment Result and Analysis 8. 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.9 No.12