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Paper Abstract and Keywords
Presentation 2023-10-13 10:45
Proposal of Nonlinear Queue-flow Detection Method for Person Counting System
Yusheng Luo, Johei Matsuoka (TUT)
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this study is to improve a conventional waiting person detection system to accommodate non-linear queue shapes. Conventional methods have been proposed to detect only the linear queue in video images. However, these methods have difficulty in handling non-linear queue, false positives of waiting persons occur. In this study, we propose a non-linear queue-flow detection method based on Bezier curve approximation and DBSCAN with elliptic scan range to deal with non-linear queue-flow, and propose a dynamic deletion and path verification method. Experiments using an actual fixed-angle camera for experiment, and confirm the effectiveness of the proposed method in dealing with non-linear queue-flow by comparing the proposed method with the conventional method and the base method.
Keyword (in Japanese) (See Japanese page) 
(in English) non-linear queue detection / queuing person counting / curve approximation fitting / object detection / target tracking / / /  
Reference Info. ITE Tech. Rep.
Paper #  
Date of Issue  
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee IEICE-SIS BCT  
Conference Date 2023-10-12 - 2023-10-13 
Place (in Japanese) (See Japanese page) 
Place (in English) HISTORIA UBE 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IEICE-SIS 
Conference Code 2023-10-SIS-BCT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal of Nonlinear Queue-flow Detection Method for Person Counting System 
Sub Title (in English)  
Keyword(1) non-linear queue detection  
Keyword(2) queuing person counting  
Keyword(3) curve approximation fitting  
Keyword(4) object detection  
Keyword(5) target tracking  
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1st Author's Name Yusheng Luo  
1st Author's Affiliation Tokyo University of Technology (TUT)
2nd Author's Name Johei Matsuoka  
2nd Author's Affiliation Tokyo University of Technology (TUT)
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Speaker Author-1 
Date Time 2023-10-13 10:45:00 
Presentation Time 20 minutes 
Registration for IEICE-SIS 
Paper #  
Volume (vol) vol.47 
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