Indicator results of the improvement module.

<div><p>To solve the problem of reduced positioning accuracy caused by changes in scale, background and occlusion in port and dock video images, this research proposes an enhanced model combining YOLOv5s-DeepSORT, integrating target load recognition and trajectory tracking to improve ada...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Chengzhi Wang (2256133) (author)
مؤلفون آخرون:	Donghong Chen (3601139) (author), Zhen Liu (74646) (author), Yuanhao Li (141505) (author), Yifei Wang (95207) (author), Sanglan Zhao (21696099) (author)
منشور في:	2025
الموضوعات:	Neuroscience Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified model &# 8217 constructed datasets demonstrated dock video images dock image sequence mean average precision 2 %, offering scale object detection deepsort </ p target tracking accuracy dock environments target recognition detection accuracy average accuracy yolov5s improved xlink "> valuable reference trajectory tracking scale convolution research proposes optimization led network enhanced mota ). improve adaptability findings indicate experimental results enhanced using combined yolov5s 95 increased
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Indicator results of the improvement module.

مواد مشابهة