A pedestrian segmentation algorithm in the presence of cast shadows is presented in this study. The novelty of this algorithm lies in the fusion of multi-view and multi-plane homographic projections of foregrounds and the use of the fused data to guide colour clustering. This brings about an advantage over the existing binocular algorithms in that it can remove cast shadows while keeping pedestrians’ body parts, which occlude shadows. Phantom detection, which is inherent with the binocular method, is also investigated. Experimental results with real-world videos have demonstrated the efficiency of this algorithm.

中文翻译：

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通过双目视觉和颜色聚类检测运动阴影

在这项研究中提出了一种在存在阴影的情况下的行人分割算法。该算法的新颖之处在于融合了前景的多视图和多平面单应投影，以及使用融合后的数据来指导颜色聚类。与现有的双目算法相比，这带来了一个优势，因为它可以消除投射阴影，同时保留行人的身体部位，从而遮挡阴影。还研究了双目方法固有的幻像检测。真实视频的实验结果证明了该算法的有效性。