Reconstructing 3D motion trajectories of particle swarms by global correspondence selection
Reconstructing 3D motion trajectories of particle swarms by global correspondence selection
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DOI：
10.1109/iccv.2009.5459358
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发表时间：
2009-09
期刊：
影响因子：
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通讯作者：
Danping Zou;Qi Zhao;H. Wu;Y. Chen
中科院分区：
文献类型：
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作者：
Danping Zou;Qi Zhao;H. Wu;Y. Chen
本文研究了利用两台时间同步和几何校准的摄像机重建粒子群三维运动轨迹的问题。三维轨迹重建问题涉及到立体匹配和时间跟踪两个具有挑战性的任务。现有的方法将两者分开，一次处理一个，在立体匹配和跟踪中经常存在无法解决的歧义。我们将这两个任务统一起来，提出了一种同时解决立体匹配和时间跟踪问题的全局对应选择方案。该方法将三维轨迹获取问题视为通过最小化代价函数，从所有可能的目标中选择合适的立体对应。实验结果表明，该方法与现有方法相比具有显著的性能优势。
This paper addresses the problem of reconstructing the 3D motion trajectories of particle swarms using two temporally synchronized and geometrically calibrated cameras. The 3D trajectory reconstruction problem involves two challenging tasks - stereo matching and temporal tracking. Existing methods separate the two and process them one at a time sequentially, and suffer from frequent irresolvable ambiguities in stereo matching and in tracking. We unify the two tasks, and propose a Global Correspondence Selection scheme to solve stereo matching and temporal tracking simultaneously. It treats 3D trajectory acquisition problem as selecting appropriate stereo correspondences among all possible ones for each target by minimizing a cost function. Experiment results show that the proposed method has significant performance advantage over existing approaches.