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一种基于颜色和纹理特征的阴影检测新方法

Novel Shadow Detection Method Based on Color and Texture Features

中文摘要英文摘要

本文叙述了一种可用于视频监控应用领域的运动物体阴影检测算法,提高了运动物体检测的精确性和性能,为后续的处理,如运动物体跟踪,分类以及行为分析提供了可靠的保证。该阴影检测算法主要利用阴影与背景的颜色和纹理特征相似这一特点,结合颜色和纹理分析各自的优点,提供了利用颜色和纹理信息的自适应阴影检测算法。实验证明,该方法在不同是场景下均可稳定有效的检测出运动阴影。

his paper describes a new method for shadow detection of moving objects in video surveillance applications, improving the detection performance and fascinating the following image processing steps, such as object tracking, classification and behavior analysis. This method is based on the priori that shadow region and background region share the similar textural and chromatic characteristics. This method combines the virtues of color and texture features, to select the best criterion to discriminate shadow pixels from object pixels. Experiment shows that this method can achieve desirable performance under indoor and outdoor environment.

于洁、张洪刚、顾芳、李巧红、代由锐

计算技术、计算机技术自动化技术、自动化技术设备

模式识别阴影检测HSV空间LBP智能交通系统

shadow removalshadow detectionHSVLBPITS

于洁,张洪刚,顾芳,李巧红,代由锐.一种基于颜色和纹理特征的阴影检测新方法[EB/OL].(2012-01-04)[2025-08-23].http://www.paper.edu.cn/releasepaper/content/201201-79.点此复制

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