Vehicle color recognition using instance segmentation
Ihsan Emre Üstün, Cevahir Çığla · 2023
This study presents a method for vehicle color recognition using instance segmentation, a powerful tool for image analysis. Vehicle color information is a crucial part of city surveillance, however, extracting the color is a challenging task due to high levels of occlusion and the reflective nature of the vehicles. This method uses a state-of-the-art instance segmentation algorithm to differentiate overlapped objects and then selects informative pixels in terms of the object color. The results indicate taking advantage of an instance segmentation method increases color recognition performance.