Improved Pedestrian Detection Algorithm Based on YOLOv5s

In this study, we propose YOLOv5s-PGD algorithm for dense pedestrian detection, which can improve the recall and reduce the number of parameters compared with YOLOv5s. First, a minimum scale detection layer has been added to deepen the pyramid’s depth and enhance detection accuracy. Second, ghost co...

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Bibliographic Details

Published in:	Journal of advanced computational intelligence and intelligent informatics Vol. 28; no. 4; pp. 768 - 775
Main Authors:	Li, Zhihua, Zhang, Yuanbiao, Wang, Chao, Tan, Guopeng, Yan, Yahui
Format:	Journal Article
Language:	English
Published:	Tokyo Fuji Technology Press Co. Ltd 20.07.2024
Subjects:	Accuracy Algorithms Convolution Informatics Object recognition Parameters Pedestrians Real time
ISSN:	1343-0130, 1883-8014
Online Access:	Get full text
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