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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.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
İhsan Emre Üstün andCevahir Çığla
"Vehicle color recognition using instance segmentation", Proc. SPIE 12742, Artificial Intelligence for Security and Defence Applications, 1274206 (17 October 2023); https://doi.org/10.1117/12.2684092
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İhsan Emre Üstün, Cevahir Çığla, "Vehicle color recognition using instance segmentation," Proc. SPIE 12742, Artificial Intelligence for Security and Defence Applications, 1274206 (17 October 2023); https://doi.org/10.1117/12.2684092