【摘要】 运动阴影常被误划为目标并干扰目标的分割和跟踪,所以阴影检测在许多图像监控系统中都非常重要.本文研究传统阴影检测算法.针对传统算法受特定条件约束不能自动适用于不同场景的不足,提出一种在场景特征未知情况下的阴影检测算法.算法综合考虑颜色信息、空间信息和纹理信息,利用阴影的颜色、空间和纹理属性在待分析区域中确定其造成的颜色形变,通过使用颜色形变补偿和纹理校正检测到运动阴影.基于不同图像的实验结果表明该方法的有效性.更多还原

【Abstract】 Moving shadow detection is critical for video surveillance system since shadow points are often misclassified as object points,which causes errors in segmentation and tracking.The conventional algorithms always need the scene characteristics,which makes the algorithms not widely used and automatically performed.An approach is presented that does not rely on any scene assumptions such as camera location and scene characteristics.Color information,texture information and spatial constraints are embedded to define the overall algorithm.Firstly,relevant areas are identified in each image.Then,the color distortion caused by shadow are calculated. Finally,the moving object and shadow are detected by using color distortion compensation and texture verification.The proposed algorithm is demonstrated on many kinds of outdoor video sequences.Moreover,the performance comparisons show that the proposed algorithm outperforms the conventional ones.更多还原