Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Deep Learning Image Processing Technology for Vehicle Occupancy Detection

차량탑승인원 탐지를 위한 딥러닝 영상처리 기술 연구

  • Jang, SungJin (Department of Computer Engineering, Dong-Eui University) ;
  • Jang, JongWook (Department of Computer Engineering, Dong-Eui University)
  • Received : 2021.06.26
  • Accepted : 2021.07.04
  • Published : 2021.08.31
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Abstract

With the development of global automotive technology and the expansion of market size, demand for vehicles is increasing, which is leading to a decrease in the number of passengers on the road and an increase in the number of vehicles on the road. This causes traffic jams, and in order to solve these problems, the number of illegal vehicles continues to increase. Various technologies are being studied to crack down on these illegal activities. Previously developed systems use trigger equipment to recognize vehicles and photograph vehicles using infrared cameras to detect the number of passengers on board. In this paper, we propose a vehicle occupant detection system with deep learning model techniques without exploiting existing system-applied trigger equipment. The proposed technique proposes a system to detect vehicles by establishing triggers within images and to apply deep learning object recognition models to detect real-time boarding personnel.

세계 자동차 기술의 발전과 시장 규모의 확대로 차량 수요가 증가하고 있으며 이로 인해 차량탑승 인원은 감소하고 도로의 차량 수는 증가하는 추세이다. 이는 교통체증의 원인이 되며 이러한 문제를 해결하기 위해 다인승 전용차로 제도를 시행하고 있으나 불법 이용 차량은 계속 증가하고 있다. 이러한 불법 행위를 단속하기 위한 다양한 기술이 연구되고 있다. 기존에 개발된 시스템은 트리거 장비를 이용하여 차량을 인식하고 적외선 카메라를 통해 차량을 촬영하여 차량 탑승 인원을 감지한다. 본 논문에서는 기존 시스템 적용된 트리거 장비를 이용하지 않고 딥러닝 모델 기술을 적용한 차량탑승 인원탐지 시스템을 제안한다. 제안된 기술은 영상 내에 트리거를 설정하여 차량을 탐지하고 딥러닝 객체 인식모델을 적용하여 실시간 탑승 인원을 감지하는 시스템을 제안한다.

Keywords

Acknowledgement

This paper was researched with a Grant from Dong-Eui University Research Year in 2020. Also, This research was supported by MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2021-2020-0-001791) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation).

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