Novel pedestrian multi-target tracking method in complex traffic scenarios
Image Processing|更新时间:2025-05-13
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Novel pedestrian multi-target tracking method in complex traffic scenarios
“In complex traffic environments, a multi-objective pedestrian tracking method combining YOLOv8 and improved DeepSORT was proposed, achieving a tracking accuracy of 77.9% and a processing speed of 55.8 FPS.”
Chinese Journal of Liquid Crystals and DisplaysVol. 40, Issue 5, Pages: 785-795(2025)
作者机构:
南京工业大学 浦江学院, 江苏 南京 211200
作者简介:
基金信息:
Qing Lan Project of Jiangsu Province (Su Teacher’s Letter [2021] No. 11)(苏师函[2021]11号)