为了准确检测与分割阴影，提出了基于体色向量匹配的阴影检测与分割算法。
To detect and segment the shadow accurately, an algorithm based on body color vector matching is presented.
实验结果表明，文中算法解决了平行分割阴影图算法的冗余渲染问题，提高了渲染效率和场景阴影质量。
The results show that LiSPSSM effectively addresses the redundant rendering problem in PSSM and improves the efficiency and quality of real-time shadow rendering.
对于平行光，Unity可以使用级联阴影贴图(或成为平行分割阴影贴图)有很好的阴影质量，特别是远距离观看。
For Directional lights Unity can use so called Cascaded shadow Maps (alternatively called "Parallel Split shadow Maps") which give very good shadow quality, especially for long viewing distances.
级联阴影通过分割可视区域逐步部分变大，并使用相同的大小，在每个阴影贴图。
Cascaded shadows work by dividing viewing area into progressively larger portions and using the same size shadow map on each.
视频交通参数检测中的车辆分割需要准确地检测与车辆连在一起的阴影和车灯产生的亮斑。
The shadows similar to the vehicle and the spots caused by vehicle lamps need to be accurately detected in the vehicle segmentation involved in the video-based traffic parameter measurement.
实时分割主要采用一种基于阴影消除的方法，通过模板匹配，从而达到分割重叠车辆的目的。
The real-time segmentation mainly adopts an improved algorithm based on the elimination of the shadow, to divide the moving target and by matching the template, separate the overlapping vehicles.
在获取分割后的二值化图像中，采用了形态学滤波算子进行去噪，然后利用二值图像投影变换，并参考石块底部阴影位置信息，辅助完成对部分场景下的石块识别和定位。
Binary image is filtered by utilizing morphological filter. Then, using the information of stone shadow and projection transform, detection and position of stone is utilized in part environment.
背景差分法是一种重要的运动目标分割方法，但是其不仅对背景质量的要求较高，且易将运动阴影误检测为前景目标。
The background difference is important for segmenting mobile objects. But this method highly depends on background quality and easily regards moving shadows as objects.
目前已经实现的分割主要局限于灰度图象，且定位效果仍易受阴影和光照等条件的影响。
At the present time, the study of vehicle license plate locating mainly focuses on gray images so that the result is affected easily by the presence of shadows and illumination.
实验结果表明该算法很大程度上克服了阴影给图像分割带来的不利影响。
Experimental results show that the negative effects of shading in a traffic color image on segmentation can be overcome to a great extent by using the proposed algorithm.
实验结果表明，该方法能够快速、准确地在动态视频中分割出运动车辆和阴影。
The experiments show that this method can segment the moving vehicles and removal shadow rapidly and accurately from the video.
实验结果表明，该方法能够快速、准确地在动态视频中分割出运动车辆和阴影。
The experiments show that this method can segment the moving vehicles and removal shadow rapidly and accurately from the video.
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