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Vehicle Color Recognition

Vehicle Color Recognition (VCR) involves developing a system to automatically identify and classify the color of vehicles from images or video footage. This task is essential for enhancing vehicle recognition systems, particularly in surveillance, law enforcement, and traffic management applications. The goal is to accurately categorize vehicles based on color, despite challenges such as varying lighting conditions, shadows, and low-resolution images.

Papers

Showing 13 of 3 papers

TitleStatusHype
Toward Enhancing Vehicle Color Recognition in Adverse Conditions: A Dataset and BenchmarkCode1
Vehicle 24-Color Long Tail Recognition Based on Smooth Modulation Neural Network with Multi-layer Feature Representation0
Vehicle Color Recognition using Convolutional Neural NetworkCode0
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