Vehicle color recognition using instance segmentation

İhsan Emre Üstün; Cevahir Çığla

doi:10.1117/12.2684092

17 October 2023 Vehicle color recognition using instance segmentation

İhsan Emre Üstün, Cevahir Çığla

Proceedings Volume 12742, Artificial Intelligence for Security and Defence Applications; 1274206 (2023) https://doi.org/10.1117/12.2684092
Event: SPIE Security + Defence, 2023, Amsterdam, Netherlands

Abstract

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.

Citation Download Citation

İhsan Emre Üstün and 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

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