Improved Pedestrian Detection Algorithm Based on YOLOv5s

• 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

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...