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
- 학술저널
- 저자정보
- 발행연도
- 2018.8
- 수록면
- 888 - 896 (9page)
이용수
초록· 키워드
오류제보하기
In this paper, we report detection and recognition of vehicle logo from images captured from street CCTV. Image data includes both the front and rear view of the vehicles. The proposed method is a two-step process which combines image preprocessing and faster region-based convolutional neural network (R-CNN) for logo recognition. Without preprocessing, faster R-CNN accuracy is high only if the image quality is good. The proposed system is focusing on street CCTV camera where image quality is different from a front facing camera. Using perspective transformation the top view images are transformed into front view images. In this system, the detection and accuracy are much higher as compared to the existing algorithm. As a result of the experiment, on day data the detection and recognition rate is improved by 2% and night data, detection rate improved by 14%.
목차
ABSTRACT
1. INTRODUCTION
2. PROPOSED WORK
3. CONVOLUTIONAL NEURAL NETWORK
4. EXPERIMENTAL RESULTS
5. CONCLUSION
REFERENCE
참고문헌 (8)
참고문헌 신청
[학술지(정기간행물)] - T. Kato / 2002 / Preceding Vehicle Recognition Based on Learning from Sample Images / IEEE Transactions on Intelligent Transportation Systems 3 (4) : 252 ~ 260
[학술대회논문] - A. Psyllos / 2012 / M-SIFT: A New Method for Vehicle Logo Recognition / Proceeding of IEEE International Conference on Vehicular Electronics and Safety : 261 ~ 266
[학술대회논문] - I. Ansari / 2018 / Vehicle Logo Detection and Recognition using Neural Network and Perspective transformation / Proceeding of International Conference on Multimedia Information Technology and Application 12 : 12 ~ 15
[학술지(정기간행물)] - Y. Huang / 2015 / Vehicle Logo Recognition System Based on Convolutional Neural Networks With a Pretraining Strategy / IEEE Transactions on Intelligent Transportation Systems 16 : 1951 ~ 1960
[학술대회논문] - W. Thubsaeng / 2014 / Vehicle Logo Detection Using Convolutional Neural Network and Pyramid of Histogram of Oriented Gradients / Proceeding of International Joint Conference on Computer Science and Software Engineering : 34 ~ 39
[학술대회논문] - A. Psyllos / 2012 / M-SIFT: A New Method for Vehicle Logo Recognition / Proceeding of IEEE International Conference on Vehicular Electronics and Safety : 261 ~ 266
[학술대회논문] - I. Ansari / 2018 / Vehicle Logo Detection and Recognition using Neural Network and Perspective transformation / Proceeding of International Conference on Multimedia Information Technology and Application 12 : 12 ~ 15
[학술지(정기간행물)] - Y. Huang / 2015 / Vehicle Logo Recognition System Based on Convolutional Neural Networks With a Pretraining Strategy / IEEE Transactions on Intelligent Transportation Systems 16 : 1951 ~ 1960
[학술대회논문] - W. Thubsaeng / 2014 / Vehicle Logo Detection Using Convolutional Neural Network and Pyramid of Histogram of Oriented Gradients / Proceeding of International Joint Conference on Computer Science and Software Engineering : 34 ~ 39
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UCI(KEPA) : I410-ECN-0101-2018-004-003404425