Pedestrian Counting Based on Pyramid Optical Flows Clustering of Corner Point

Fang Ming Liu; Ren Yun Zhou

doi:10.4028/www.scientific.net/AMM.687-691.4163

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Pedestrian Counting Based on Pyramid Optical Flows...

Pedestrian Counting Based on Pyramid Optical Flows Clustering of Corner Point

Abstract:

For the public places, statistical analysis of pedestrian traffic can be used for pedestrian flow rate distribution in time and space. The effective analysis personnel density can be used as important data for the improvement of the public places software and hardware facilities. In this paper, we introduce a method based on Pyramid optical flows clustering of corner point to improve the counting accuracy. We also report that using length clustering, angle clustering and original location clustering to enhance the counting accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

4163-4167

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.4163

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Online since:

November 2014

Authors:

Fang Ming Liu*, Ren Yun Zhou

Keywords:

Clustering, Corner Point, Pedestrian Counting, Pyramid Optical Flow

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* - Corresponding Author

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