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Counting People by Infrared Depth Sensors

机译:用红外线深度传感器计算人

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摘要

People counting is not only an important key in video surveillance, but also it is the base for a range of analysis, which can help to manage buildings or shops. The solutions based on traditional visible cameras have problems like lighting conditions. Starting from the basic ideas of an existing algorithm, which uses depth cameras located above the scene, we formulate a new algorithm based on mathematical analysis. It also raises the study of several classifiers to discern whether the objects detected in the depth maps are people or not.
机译:人们计算不仅是视频监控的重要关键,而且它也是一系列分析的基础,这可以帮助管理建筑物或商店。基于传统的可见摄像机的解决方案存在像照明条件等问题。从现有算法的基本思想开始,它使用位于场景上方的深度摄像机,我们根据数学分析制定了一种新的算法。它还提出了几个分类器的研究来辨别在深度图中检测到的物体是否是人。

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