Sparse Mat: A Tale Of Devising A Low-Cost Directional System For Pedestrian Counting
PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON NETWORKING, SYSTEMS AND SECURITY (NSYSS)(2017)
摘要
Pedestrian counting is required in diversified places such as shopping malls, touristic spots, etc., however, a low-cost solution to this problem is yet to be proposed in the literature. Therefore, in this paper, we propose a new solution for pedestrian counting that exploits only a small number of COTS sensors (94% less than that used in the existing Eco-Counter [1] solution). To do so, we propose detail designs and two different algorithms for separately sensing step-down and step-up phenomena that we find while walking. User evaluation of real implementations of both our algorithms confirms an average accuracy of up to 93% through sensing the step-up phenomena.
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关键词
sparse mat,low-cost directional system,pedestrian counting,COTS sensors,Eco-Counter
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