切换状态空间模型的在线多摄像机跟踪

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI:10.1109/ICPR.2004.656

W. Zajdel, A. Cemgil, B. Kröse

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引用次数: 15

摘要

提出了一种非重叠摄像机在线跟踪多目标的新方法。该方法基于生成模型，该模型定义了观测值、对象的潜在颜色属性及其动态之间的概率依赖关系。它允许对轨迹进行完整的贝叶斯推断。我们开发了一种有效的在线近似推理算法，并在办公环境中证明了它的准确性。

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Online multicamera tracking with a switching state-space model

The paper presents a novel method for online tracking of multiple objects with non-overlapping cameras. The method is based on a generative model defining probabilistic dependencies between observations, the underlying color properties of objects and their dynamics. It allows for a full Bayesian inference of trajectories. We developed an online algorithm for efficient, approximate inference and we demonstrate it to be accurate in an office environment.

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Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.

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