Fusing Time-of-Flight Depth and Color for Real-Time Segmentation and Tracking
Fusing Time-of-Flight Depth and Color for Real-Time Segmentation and Tracking
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DOI：
10.1007/978-3-642-03778-8_5
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发表时间：
2009-09
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影响因子：
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通讯作者：
Amit Bleiweiss;M. Werman
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文献类型：
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作者：
Amit Bleiweiss;M. Werman
通过融合深度和RGB颜色数据，提出了一种改进的实时分割和跟踪框架。我们能够解决RGB图像跟踪和分割中的常见问题，例如遮挡，快速运动和相似颜色的物体。我们提出的基于实时均值移位的算法优于当前的技术状态，并且在困难的场景中明显更好。
We present an improved framework for real-time segmentation and tracking by fusing depth and RGB color data. We are able to solve common problems seen in tracking and segmentation of RGB images, such as occlusions, fast motion, and objects of similar color. Our proposed real-time mean shift based algorithm outperforms the current state of the art and is significantly better in difficult scenarios.