版权说明 操作指南
首页 > 成果 > 详情

Intelligent Robot Target Detection Algorithm Integrating TLD-GOTURN

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Zhou, Li;Liu, Yan
通讯作者:
Zhou, L
作者机构:
[Zhou, Li; Zhou, L] Hunan City Univ, Sch Mech & Elect Engn, Yiyang 413001, Peoples R China.
[Liu, Yan] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413001, Peoples R China.
通讯机构:
[Zhou, L ] H
Hunan City Univ, Sch Mech & Elect Engn, Yiyang 413001, Peoples R China.
语种:
英文
关键词:
Object detection;generic object tracking using regression networks;tracking learning detection;intelligent robots;Laplace probability density
期刊:
IEEE ACCESS
ISSN:
2169-3536
年:
2024
卷:
12
页码:
83439-83451
基金类别:
Social Contribution of Hunan Science and Technology Innovation Plan, Engineering Research and Application of Automatic Knotting Equipment for Bamboo Mat Based on Biomimetic Dexterous Hands (Grant Number: 2020NCK2001)
机构署名:
本校为第一且通讯机构
院系归属:
信息与电子工程学院
机械与电气工程学院
摘要:
The development of intelligent robot has always been an important research direction in the field of artificial intelligence, and the object detection of robot is the basis of intelligent perception and autonomous action. This study proposes an improved object detection algorithm which integrates two kinds of intelligent robot object detection techniques. In this process, the relationship between the center position of the target in the frame used for object detection and tracking is analyzed. It uses Laplace probability density as the parameter to calculate the center position relationship, a...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com