Shadow detection and removal in real scene images are a significant problem for target detection. This work proposes an improved shadow detection and removal algorithm for urban video surveillance. First, the foreground is detected by background subtraction and the shadow is detected by HSV color space. Using local variance and OTSU method, we obtain the moving targets with texture features. According to the characteristics of shadow in HSV space and texture feature, the shadow is detected and removed to eliminate the shadow interference for the subsequent processing of moving targets. Finally, we embed our algorithm into C/S framework based on the HTML5 web socket protocol. Both the experimental and actual operation results show that the proposed algorithm is efficient and robust in target detection and shadow detection and removal under different scenes.

中文翻译：

---

使用颜色和纹理特征的阴影消除算法。

真实场景图像中的阴影检测和去除是目标检测的重要问题。这项工作提出了一种用于城市视频监控的改进的阴影检测和去除算法。首先，通过背景减除检测前景，并通过HSV色彩空间检测阴影。利用局部方差和OTSU方法，获得具有纹理特征的运动目标。根据HSV空间中阴影的特征和纹理特征，对阴影进行检测并去除，以消除阴影干扰，从而对运动目标进行后续处理。最后，我们将算法嵌入基于HTML5 Web套接字协议的C / S框架中。