2014년 컴퓨터종합학술대회
Current Result Document : 183 / 184
| 한글제목(Korean Title) |
iOS 기반의 향상된 차량 번호판 검출을 위한 2단계 합성곱 신경망 접근법 |
| 영문제목(English Title) |
Two-Step Convolutional Neural Network Approach for Improved Number Plate Localization on iOS |
| 저자(Author) |
크리스찬 거버
정목동
Christian Gerber
Mokdong Chung
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| 원문수록처(Citation) |
VOL 41 NO. 01 PP. 0868 ~ 0870 (2014. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
A method is proposed to achieve an improved number plate localization on iOS by applying a two-step convolutional neural network (CNN) approach. Car detection, based on a supervised CNN-verifier, is processed in the first step. In the second step, we apply the detected car image regions to the second supervised CNN-verifier for license plate detection. Since mobile devices are limited in computation power, we propose a fast method to detect number plates with a high detection rate for mobile devices. The expected areas to be used, is within the Intelligent Transportation Systems (ITS).
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| 키워드(Keyword) |
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