首页> 外文会议>Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on >Tracking multiple three-dimensional motions by using modified condensation algorithm and multiple images
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Tracking multiple three-dimensional motions by using modified condensation algorithm and multiple images

机译:通过使用改进的压缩算法和多个图像跟踪多个三维运动

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In this paper we present a system for tracking objects' 3D motions by using sampling algorithm. The system consists of three cameras and 1 PC. We modified the condensation algorithm [M.A. Isard et al., 1998] to track objects' 3D positions. The condensation algorithm is a kind of "factored sampling" and it can easily cope with multi-modal probability density of objects' positions. We track objects not in images but in 3D space. We use a condensation particle-set as a tracker and represent a position of a moving object by a center of tracker. Since we don't track directly in images, a great advantage of this method is not to need to deal with occlusions or objects' mutual interferences which happen in images.
机译:在本文中,我们提出了一种使用采样算法跟踪对象3D运动的系统。该系统由三台摄像机和一台PC组成。我们修改了冷凝算法[M.A. Isard et al。,1998]来跟踪对象的3D位置。凝聚算法是一种“分解采样”,它可以轻松应对物体位置的多峰概率密度。我们不是在图像中而是在3D空间中跟踪对象。我们使用凝结粒子集作为跟踪器,并通过跟踪器的中心表示运动对象的位置。由于我们不直接在图像中进行跟踪,因此此方法的一大优势是无需处理图像中发生的遮挡或物体之间的相互干扰。

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