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Foreground Segmentation by Combining Color and Depth Images

机译:通过结合颜色和深度图像来分割前景分割

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Moving object detection is a crucial step in many application contexts such as people detection, action recognition, and visual surveillance for safety and security. The recent advance in depth camera technology has suggested the possibility to exploit a multi-sensor information (color and depth) in order to achieve better results in video segmentation. In this paper, we present a technique that combines depth and color image information and demonstrate its effectiveness through experiments performed on real image sequences recorded by means of a stereo camera.
机译:移动物体检测是许多应用上下文中的重要步骤,例如人们检测,动作识别和安全和安全性的视觉监控。深度相机技术的最近进步已经提出了利用多传感器信息(颜色和深度)来实现视频分段的更好结果的可能性。在本文中,我们介绍了一种结合深度和彩色图像信息的技术,并通过在通过立体摄像机记录的真实图像序列上进行的实验来证明其有效性。

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