• Journal of Korean Society of Transportation
• /
• v.23 no.3 s.81
• /
• pp.109-123
• /
• 2005

The goals of this paper are two folds: i) to evaluate whether the data collected by a license plate matching AVI equipment being operated on some segment of a national highway are suitable or not for use in travel time estimation of interrupted traffic flows; ii) to study the statistical methodologies to be used for the determination of the optimal aggregation interval for travel time estimation. In this study it was found that the AVI data are not representative because the data are collected on some selected lanes of a roadway where main traffic is thru-traffic and, thus the AVI data are different from those collected from all lanes in traffic characteristics. For the determination of the optimal aggregation interval for travel time estimation. two statistical methods. namely point estimation and interval estimation. were tested. The test shows that the point estimation method is more sensitive and gives more desirable results in determing the optimal aggregation interval than the interval estimation method. And it turned out that the optimal aggregation interval on interrupted traffic flows has been calculated as 5 minute and thus the existing aggregation interval. 5 minute is proper.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.5
• /
• pp.877-884
• /
• 2023

In this study, when another vehicle is parked in a designated space where a personal vehicle can park and a defined personal use time, an ultrasonic object recognition sensor is used to determine vehicle entry, and a camera sensor recognizes a license plate. If the vehicle is not recognized by the individual vehicle owner, the "private parking lot operation block" of the application server receives the individual phone number based on the National Police Agency's Vehicle Number Information Inquiry Open API. Afterwards, when parking is processed, the non-right holder receives the approval of the parking right holder, parks for the recognized time, and deposits the parking fee into the public account of the city hall. Through this study, it was possible to find an operation processing method that can most effectively manage parking in the city center in a private parking space recognized by the city hall.

• Journal of the Korea Convergence Society
• /
• v.10 no.11
• /
• pp.79-84
• /
• 2019

Video image based technology is being used in various fields with continuous development. The demand for vision system technology that analyzes and discriminates image objects acquired through cameras is rapidly increasing. Image processing is one of the core technologies of vision systems, and is used for defect inspection in the semiconductor manufacturing field, object recognition inspection such as the number of tire surfaces and symbols. In addition, research into license plate recognition is ongoing, and it is necessary to recognize objects quickly and accurately. In this paper, propose a recognition model through the rotational alignment of objects after checking the angle value of the tilt of the object in the input video image for the recognition of inclined objects such as numbers or symbols marked on the surface. The proposed model can perform object recognition of the rotationally sorted image after extracting the object region and calculating the angle of the object based on the contour algorithm. The proposed model extracts the object region based on the contour algorithm, calculates the angle of the object, and then performs object recognition on the rotationally aligned image. In future research, it is necessary to study template matching through machine learning.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.11
• /
• pp.1486-1494
• /
• 2021

Character recognition is a technology required in various platforms, such as smart parking and text to speech, and many studies are being conducted to improve its performance through new attempts. However, with low-quality image used for character recognition, a difference in resolution of the training image and test image for character recognition occurs, resulting in poor accuracy. To solve this problem, this paper designed an end-to-end learning neural network that combines image super-resolution and character recognition so that the character recognition model performance is robust against various quality data, and implemented an alternative whole learning algorithm to learn the whole neural network. An alternative end-to-end learning and recognition performance test was conducted using the license plate image among various text images, and the effectiveness of the proposed algorithm was verified with the performance test.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2010.11a
• /
• pp.67-69
• /
• 2010

최근 자동차 업계와 IT 기술의 융합이 새로운 트렌드로 자리 잡으면서 전자제어 기술뿐만 아니라 영상처리 기술이 융합된 지능형 자동차 개발에 대한 연구가 활발히 진행되고 있다. 차선 또는 번호판을 대상으로 하는 인식 알고리즘은 이미 다양한 방법으로 연구가 진행되어 왔으며 이미 몇몇 기술은 상용화 단계에 있다. 본 논문에서는 Viola-Jones 알고리즘을 이용하여 차량의 사각 지대에 위치하는 차량을 감지하고 이의 대략적인 거리 정보를 추정하는 것을 목표로 하여 차량의 형태 정보를 바탕으로 차량을 감지하는 알고리즘을 제안한다. 기본적인 방법은 Adaboost와 Harr-like 특징을 사용하여 얼굴을 성공적으로 검출한 Viola-Jones 알고리즘[1]을 차량에 적용하였다.

• Proceedings of the IEEK Conference
• /
• 2005.11a
• /
• pp.477-480
• /
• 2005

In this paper, we propose a preprocess method to needs for Car License Plate Recognition on poor environment. This preprocess method use multi images to get low value to compare images value. Last method was Opening operation that Using Edge pixel to add and subtraction. The Result was removed White pixel and very mini feather. But This method needs many process times and License Plate Recognition is low quality problem. Another method is median filter and conversion. This paper key idea that rain & snow is high value. So This paper propose get low value to compare image value.

• Proceedings of the IEEK Conference
• /
• 2001.09a
• /
• pp.455-458
• /
• 2001

In this paper, a new license plate recognition method using the morphological size distribution functions and color images is proposed. The proposed method consists of two steps. The first step is license plate extraction process using the plate color and step edge information in the license plate. The second step is the extraction of character feature vectors using the morphological size distribution functions and character recognition process using the MLP(multilayer perceptron). By the use of morphological size distributions functions, the error that may occur during the character region extraction process is lessened and the recognition performances are improved by the decrease of feature vector dimension.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2010.07a
• /
• pp.356-359
• /
• 2010

CCTV(closed-circuit television) 시스템은 현재 도로 교통감시, 아파트 방범, 차량 번호판 인식 등 많은 분야에서 사용되고 있다. 사용되는 여러 분야에서 실제 물체와 감시 영상의 오차를 줄이기 위해 좀 더 향상된 화질의 영상을 필요로 하고 있다. 디지털 카메라가 보편화 되고 또한 급속한 영상 압축 기술의 발전으로 인해 고화질의 영상을 지원하는 카메라가 빠르게 출시되고 있다. 현재 보편화된 영상 압축 기술 중 가장 뛰어난 성능을 발휘하는 H.264를 지원 하는 카메라를 사용한 CCTV 감시 시스템이 늘고 있는 것이 현실이다. 본 논문에서는 H.264를 이용하여 고화질의 영상을 지원하는 여러 카메라를 동시에 원격으로 감시할 수 있는 Client Viewer 를 구현 하였다. 구현한 Client Viewer 는 실시간 재생 기능 및 녹화 기능을 지원 하며 녹화된 영상을 검색하고 재생하는 DVR 기능도 지원한다.

• Journal of Satellite, Information and Communications
• /
• v.10 no.3
• /
• pp.16-21
• /
• 2015

In this paper, we presented Under Vehicle Inspection System by comparing two image signals. Two signals are generated by license plate number and under-vehicle pattern recognition. The test shows reliable precision within real-time of 2.8sec, which can be applicable commercially. In the future, more research will be conducted to enhance the precision by automatic image balance in many challenging situations.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2015.01a
• /
• pp.303-305
• /
• 2015

본 연구에서는 불법 주 정차 단속을 위한 번호판 인식용 스피드돔 카메라 개발을 위한 선행 연구로 전체 목표 중 PC와 카메라 모듈간 통신 Board 제작과 소니의 FCB-EX1010 카메라 기능 확인을 위한 PC S/W 구성, VISCA/RS232C Command 확인 및 One Board 작성에 필요한 사전 PC 용 프로그램 구성과 VISCA 통신 Format을 이용한 통신 프로그램을 구성하고 평가하였다. 구성한 통신 보드와 프로그램, 통신 Format은 정상 작동하도록 완성하였으며, 결합한 테스트에서 통신 향후 다양한 주의할 점과 목표를 찾아내었다. 정밀 장거리 스피드 돔 카메라 요구가 많아지고 있는 시점에서 적정한 개발을 위한 선행 연구이었다.