基于感知分组和纹理特征的智能交通运动阴影检测方法

Jieqiong Xu, Guoyu Wang
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引用次数: 0

摘要

感知分组是指视觉系统根据一定的线索对图像特征进行检测的组织能力。这些线索包括接近性、连续性、封闭性等。基于感知分组的目标重组方法已成功应用于多种类型的图像处理。但在实际应用中,由于光线、背景等外部因素的影响,目前的感知分组方法并不能很好地将运动阴影从前景中完全分割出来。研究表明,纹理特征是一种有效的阴影识别方法。本文提出了一种将感知分组与纹理特征相结合的运动阴影检测方法。因此,整个阴影和车辆都被检测到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Approach for Intelligent Transportation Moving Shadow Detection via Perceptual Grouping and Texture Feature
Perceptual grouping refers to the organization ability that visual system detect image features in accordance with certain cues. These cues include proximity, continuity, closure, etc. Object reorganization based on perceptual grouping methods have been successfully applied for image processing in varieties. However, in the actual application, due to the light, background and other external factors, the current perceptual grouping methods are not optimal to completely segment the moving shadow from the foreground .Investigations have shown that the texture feature are an effective way to recognize shadow . In this paper, we proposed a new approach for moving shadow detection by combining perceptual grouping with texture feature. Thereby both the complete shadow and vehicles are detected.
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