Probabilistic Inference of Multi-Object Trajectories

Pengcheng Wang
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Abstract

This paper presents a novel approach of inferring the trajectories of moving objects in a library, a conference hall, or a large shopping mall, where GPS, Wi-Fi or cellular localization is not readily available or is deemed too expensive. Our solution is a distributed one whereby each object records all the other objects it encounters as well as the time of contact and such contact histories collectively enable the probabilistic inference of each object's whereabouts in the past as long as the map of the area is known.
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多目标轨迹的概率推理
本文提出了一种推断图书馆、会议厅或大型购物中心中移动物体轨迹的新方法,在这些地方,GPS、Wi-Fi或蜂窝定位不容易获得或被认为过于昂贵。我们的解决方案是分布式的,即每个物体记录它遇到的所有其他物体,以及接触的时间和这些接触历史,只要已知该区域的地图,就可以对每个物体过去的位置进行概率推断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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