Algorithm for the Analysis of business district using Pedestrian-Detection (보행자검출을 통한 상권 분석 알고리즘)

Lee, Seungik (이승익)

doi:10.29056/jsav.2021.12.09

Algorithm for the Analysis of business district using Pedestrian-Detection

Journal of Software Assessment and Valuation
Abbr : JSAV
2021, 17(2), pp.83-89
DOI : 10.29056/jsav.2021.12.09
Publisher : Korea Software Assessment and Valuation Society
Research Area : Engineering > Computer Science
Received : August 12, 2021
Accepted : December 20, 2021
Published : December 31, 2021

Lee, Seungik ¹

¹연암공과대학교

Accredited

ABSTRACT

In this paper, we propose an algorithm that provide services to consumers who want to conduct business by scientifically and systematically analyzing the number of pedestrians in a specific area over a specific period of time. In this paper, we proposed the algorithm to analyze the commercial area using the pedestrian-detect algorithm in the particular region using YOLO, one of the deep learning techniques. And with one image per minute in the images, the number of pedestrians is identified and this information is used for the analysis of business district on interesting area and time, systematically and objectively.

KEYWORDS

Pedestrian-Detection, YOLO, business district, big data, deep learning

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* References for papers published after 2023 are currently being built.

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Journal of Software Assessment and Valuation 2023 KCI Impact Factor : 0.35

Algorithm for the Analysis of business district using Pedestrian-Detection

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of Software Assessment and Valuation 2023 KCI Impact Factor : 0.35

Algorithm for the Analysis of business district using Pedestrian-Detection

ABSTRACT

KEYWORDS

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REFERENCES (12) * References for papers published after 2023 are currently being built.

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* References for papers published after 2023 are currently being built.