中文摘要：

一个算法被开发检测动人的目标并且压制阴影。根据一些动人的目标在景色引起的运动变化，一条背景更改途径被建议。发达更改方法高效地阻止背景的不希望得到的贪污并且不考虑改编系数或在一些存在算法使用的学习的率。多尺度的小浪变换方法论被用来从一个喧嚷背景分割前景。阀值价值的最佳的选择自动地被决定它不要求任何建筑群监督了训练或用手的刻度。根据光度计不变，颜色比率差别被建议压制阴影。一些完全的前景运动目标区域被处于颜色比率差别与阴影抑制在多尺度的小浪集成动人的目标分割提取。提及的方法被动人的目标的存在少些在景色影响。试验性的结果证明建议途径在检测运动目标并且由比较压制阴影是有效的。

英文摘要：

An algorithm is developed to detect moving object and suppress shadow. According to motion variations caused by some moving objects in a scene, a background update approach is proposed. The developed update method ef- ficiently prevents undesired corruption of background and does not consider the adaptation coefficient or the learning rate used in some existing algorithms. A multi-scale wavelet transform methodology is used to segment foreground from a clut- ter background. The optimal selection of threshold value is automatically determined which does not require any complex supervised training or manual calibration. According to photometric invariant, a color ratio difference is proposed to sup- press shadow. Some complete foreground motion object regions are extracted by integrating moving object segmentation in the multi-scale wavelet with shadow suppression in the color ratio difference. The mentioned method is less affected by the presence of moving objects in a scene. Experimental results show that the proposed approach is efficient in detecting motion objects and suppressing shadows by comparisons.