贝叶斯多摄像头监控

Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149) Pub Date : 1999-06-23 DOI:10.1109/CVPR.1999.784638

Vera M. Kettnaker, R. Zabih

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引用次数: 338

摘要

多摄像机监控的任务是重建从多个非重叠摄像机中暂时可见的所有运动物体所采取的路径。我们提出了该任务的贝叶斯形式化，其中最优解是给定观测数据的具有最高后验概率的目标路径集。我们展示了如何用线性规划有效地逼近最大后验解，并给出了初步的实验结果。

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Bayesian multi-camera surveillance

The task of multicamera surveillance is to reconstruct the paths taken by all moving objects that are temporally visible from multiple non-overlapping cameras. We present a Bayesian formalization of this task, where the optimal solution is the set of object paths with the highest posterior probability given the observed data. We show how to efficiently approximate the maximum a posteriori solution by linear programming and present initial experimental results.

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Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)

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