딥러닝 기반 교통 흐름 분석 방법 및 시스템이 제공된다. 본 발명의 실시예에 따른 교통 흐름 분석 방법은, 도로 영상을 획득하고, 획득된 도로 영상에서 딥러닝 모델을 이용하여 객체를 검출하고 추적하고, 획득된 도로 영상에서 딥러닝 모델을 이용하여 교통 정보를 인식하며, 검출하고 추적하는 객체와 인식한 교통 정보를 이용하여 교통 이벤트를 생성한다. 이에 의해, 교통 흐름의 분석과 교통 이벤트 생성을 보다 정확하게 수행할 수 있게 된다.

    A deep learning based traffic flow analysis method and system are provided. A traffic flow analysis method according to an embodiment of the present invention comprises the following steps: obtaining a road image; detecting and tracking an object using a deep learning model in the obtained road image; recognizing traffic information by using the deep learning model in the obtained road image; and creating a traffic event by using the object to be detected and tracked and the recognized traffic information. Accordingly, it is possible to more accurately analyze traffic flow and generate the traffic event.


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    Title :

    Deep Learning based Traffic Flow Analysis Method and System


    Additional title:

    딥러닝 기반 교통 흐름 분석 방법 및 시스템


    Publication date :

    2022-10-12


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Korean


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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