农业工程2026，Vol.16Issue(3)：21-26,6.DOI:10.19998/j.cnki.2095-1795.202510031
基于YOLO11n姿态估计和手势识别的动态目标人员定位研究
Dynamic target individuals localization based on YOLO11n pose estimation and gesture recognition
摘要
Abstract
To address impact of dense orchard foliage obstructing GNSS signals and affecting positioning navigation,as well as poor ad-aptability and limited flexibility of traditional transport robot follow-up methods,a visual tracking positioning method for transport ro-bots was proposed.By integrating gesture recognition within YOLO11n pose estimation framework,a human keypoint recognition and localization model was constructed.Combined with a depth camera,median filtering,and quaternion methods were employed to calcu-late spatial coordinates and estimate pose of target individuals.To validate system performance,static hand-raising tests and dynamic re-cognition anti-interference tests were designed.Test results demonstrated that within a range of 1.0 to 2.0 meters from camera,average recognition accuracy exceeded 92.5%during static hand-raising tests.At a distance of 1.5 meters from camera,recognition accuracy reached 90%in dynamic recognition anti-interference test conditions,indicating robust automatic recognition and stable dynamic posi-tioning capabilities.This technological research findings could provide valuable reference for target positioning related studies.关键词
YOLO11n/姿态估计/手势/目标识别/目标定位/运输机器人Key words
YOLO11n/pose estimation/gesture/target recognition/target positioning/transport robot分类
农业科技引用本文复制引用
陈科,李军辉,何亚凯..基于YOLO11n姿态估计和手势识别的动态目标人员定位研究[J].农业工程,2026,16(3):21-26,6.基金项目
北京农业职业学院2024年度科技创新项目(XY-XF-24-08) （XY-XF-24-08）
