A Convenient Multi-camera Self-Calibration Method Based on Human Body Motion Analysis
A Convenient Multi-camera Self-Calibration Method Based on Human Body Motion Analysis
复制标题
一种基于人体运动分析的便捷多摄像头自标定方法
DOI：
10.1109/icig.2009.92
复制
发表时间：
2009
期刊：
影响因子：
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通讯作者：
Haichao Zhang
中科院分区：
文献类型：
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作者：
Xiuwei Zhang;Yanning Zhang;Xingong Zhang;Tao Yang;Xiaomin Tong;Haichao Zhang
提出了一种新颖、方便的多摄像机自标定方法。与其他标定方法不同的是，本文的方法是通过分析人体运动来实现的。唯一的限制是，在校准期间，需要几个不同身高的人一个接一个地在实验环境中走动。通过这种方法，从同步视频序列中提取两种对应点。一个是运动人体的质心。另一种是通过匹配视频序列中的地板平面来提取地板上的点。地板平面的配准是基于阴影检测和共运动特征。基于这些对应点，估计相机参数和观察到的3D点。在我们自己的实验环境中测试所提出的方法。实验结果证明了该方法的准确性。我们的方法可以满足许多应用程序的多视图计算机视觉。
A novel and convenient multi-camera self-calibration method is proposed in this paper. Different from other calibration methods, our method is done by analyzing human body motion. The only constraint is that several people of different heights are needed to walk around the experimental environment one by one in the calibration period. By this way, two kinds of corresponding points are extracted from synchronous video sequences. One is the centroid of the moving human body. The other is points on the floor, which is extracted by matching floor planes in video sequences. The floor planes registration is based on shadow detection and co-motion feature. Based on these corresponding points, camera parameters and 3D points observed are estimated. The proposed method is tested in our own experimental environment. Experimental results show the accuracy of our calibration method. Our method can satisfy many applications of multi-view computer vision.