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Pedestrian Counting System based on Average Filter Tracking for Measuring Advertisement Effectiveness of Digital Signage
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  • Journal title : Journal of Broadcast Engineering
  • Volume 21, Issue 4,  2016, pp.493-505
  • Publisher : The Korean Institute of Broadcast and Media Engineers
  • DOI : 10.5909/JBE.2016.21.4.493
 Title & Authors
Pedestrian Counting System based on Average Filter Tracking for Measuring Advertisement Effectiveness of Digital Signage
Kim, Kiyong; Yoon, Kyoungro;
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 Abstract
Among modern computer vision and video surveillance systems, the pedestrian counting system is a one of important systems in terms of security, scheduling and advertising. In the field of, pedestrian counting remains a variety of challenges such as changes in illumination, partial occlusion, overlap and people detection. During pedestrian counting process, the biggest problem is occlusion effect in crowded environment. Occlusion and overlap must be resolved for accurate people counting. In this paper, we propose a novel pedestrian counting system which improves existing pedestrian tracking method. Unlike existing pedestrian tracking method, proposed method shows that average filter tracking method can improve tracking performance. Also proposed method improves tracking performance through frame compensation and outlier removal. At the same time, we keep various information of tracking objects. The proposed method improves counting accuracy and reduces error rate about S6 dataset and S7 dataset. Also our system provides real time detection at the rate of 80 fps.
 Keywords
pedestrian detection;digital signage;people counting;pedestrian tracking;average filter;
 Language
Korean
 Cited by
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