Yonten Jamtsho, Panomkhawn Riyamongkol, Rattapoom Waranusast

    Nowadays, detection of license plate (LP) for non-helmeted motorcyclist has become mandatory to ensure the safety of the motorcyclists. This paper presents the real-time detection of LP for non-helmeted motorcyclist using the real-time object detector YOLO (You Only Look Once). In this proposed approach, a single convolutional neural network was deployed to automatically detect the LP of a non-helmeted motorcyclist from the video stream. The centroid tracking method with a horizontal reference line was used to eliminate the false positive generated by the helmeted motorcyclist as they leave the video frames. The overall LP detection rate was 98.52%.

Key words: YOLO;Helmet detection;LP detection;Centroid tracking

DOI: https://doi.org/10.1016/j.icte.2020.07.008

Date:2021.3