基于光晕层次特点验证的夜间尾灯提取方法

Nighttime taillight pick-up method based on halo layer structure verifying

针对目前夜间场景下尾灯提取算法存在的颜色和形状适应性受限问题,提出了一种基于尾灯光晕层次特点验证的尾灯提取方法。该方法与基于颜色阈值过滤的方法、基于形状过滤的方法以及基于机器学习的方法相比,具有较好的颜色和形状适应性,算法整体具备了实时性、较高的准确率和较少的误检率。

For current nighttime taillight pick-up algorithms, the color and shape adaptabilities are inadequate. This paper proposes a novel taillight pick-up algorithm based on the halo layer structure verifying. Compared with the current algorithms such as the color thresholding, the shape filtering and the machine learning, the algorithm proposed has a better color and shape adaptability, and has the features of real-time, high accuracy and low false positive rate.