An area-based decision rule for people-counting systems

Authors:
Hyun Hee Park;Hyung Gu Lee;Seung-In Noh;Jaihie Kim
Affiliations:
Department of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center(BERC), Republic of Korea;Department of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center(BERC), Republic of Korea;Samsung Electronics, Yeongtong-gu, Suwon-city, Gyeonggi-do, Republic of Korea;Department of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center(BERC), Republic of Korea
Venue:
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Year:
2006

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Abstract

In this paper, we propose an area-based decision rule for counting the number of people that pass through a given ROI (Region of Interest). This decision rule divides obtained images into 72 sectors and the size of the person is trained to calculate the mean and variance values for each divided sector. These values are then stored in table form and can be used to count people in the future. We also analyze various movements that people perform in the real world. For instance, during busy hours, people frequently merge and split with each other. Therefore, we propose a system for counting the number of passing people more accurately and a way of discovering the direction of their paths.