Vehicle model recognition from images is one of challenging fields for supporting intelligence transport system. Existing methods only deal with vehicle in fixed view. However, in video, rotation is occurred and it decreases performance of recognition. To overcome this problem, rectification method about skew though rotated view is needed. We employ the robust license plate detection method using straight line template matching to get ROI. Also, we perform recognition process toward vehicle in rotated view whose angle is 0° to 15° after proposed image rectification from proposed rectification method.
목차
Abstract 1. Introduction 2. ROI Extraction using License Plate Detection 2.1. Detection of consecutive big numbers 2.2. Extraction of outer rectangle 2.3. Designation of region for classification 3. Vehicle model recognition using symmetry 3.1. Adjustment of ROI 3.2. Local feature detection 3.3 Matching and transformation 3.4 Used visual descriptor and classifiers 4. Experimental Results 5.1. License plate detection 5.2. Vehicle model recognition 5. Conclusion Acknowledgment References
키워드
Vehicle Model RecognitionPose-invariant Object RecognitionLicense Plate DetectionFeature Matching
저자
Suhan Lee [ School of Information and Mechatronics, Gwangju Institute of Science and Technology (GIST) ]
Jeonghwan Gwak [ School of Information and Mechatronics, Gwangju Institute of Science and Technology (GIST) ]
Moongu Jeon [ School of Information and Mechatronics, Gwangju Institute of Science and Technology (GIST) ]
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.6 No.2