Analysis of People Flow Image Detection System Based on Computer Vision Sensor-Reference-Cited by-同舟云学术

Analysis of People Flow Image Detection System Based on Computer Vision Sensor

Published:2022-07-04 Issue: Volume:2022 Page:1-7
ISSN:1687-7268
Container-title:Journal of Sensors
language:en
Short-container-title:Journal of Sensors

Author:

Ou Bing¹^ORCID,Yang Jingjing¹^ORCID,Wang Wei²^ORCID

Affiliation:

1. Zhongshan Polytechnic, Zhongshan, Guangdong 528400, China

2. Tongji University, Shanghai 200092, China

Abstract

In order to meet the needs of accurately grasping the situation of people in the mall at all times, the author proposes an analysis method based on computer vision for people flow image detection system. This method combines the HOG feature with the SVM classifier, detects pedestrians through dual cameras, and builds an experimental research platform for dual-camera joint detection of pedestrians. The result shows that the error rate of human flow detected by the author’s method is the lowest of 0% and the highest of 6.25%. Conclusion. This method has a good effect on the statistics of the number of people in the shopping mall and can reduce the workload of the monitoring personnel in the shopping mall.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

Link

http://downloads.hindawi.com/journals/js/2022/8099876.pdf

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