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Crowd Density Field Estimation Based on Crowd Dynamics Theory and Social Force Model

机译:基于人群动力学理论和社会力量模型的人群密度场估计

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摘要

The local crowd density and the crowd distribution estimation tasks are useful but challenging. There are two main problems which limit the performance of existing algorithms. The first one is that there are not enough labeled training samples to build the high-performance estimation model. Another one is that existing methods lack the supports of physical theories of the crowd. To remedy them, a novel crowd density field model is proposed, which is deduced by jointing crowd dynamics theory and social force model. A crowd counting method based on the proposed crowd density field model is introduced to measure the proposed crowd density field model. Extensive experiments confirm the effectiveness of the proposed plan.
机译:本地人群密度和人群分布估计任务是有用的,但具有挑战性。有两个主要问题限制了现有算法的性能。第一个是没有足够的带标签训练样本来构建高性能估计模型。另一个是现有的方法缺乏人群的物理理论的支持。为了解决这些问题,提出了一种新颖的人群密度场模型,该模型是结合人群动力学理论和社会力量模型得出的。提出了一种基于人群密度场模型的人群计数方法,对人群密度场模型进行了测量。大量的实验证实了该计划的有效性。

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