Autonomous Tracking by an Adaptable Scaled KCF Algorithm

Author:

Tseng Din-Chang, ,Chen Chien-Hung,Chen Yi-Ming

Abstract

A multicopter is equipped by a passive tracking device to follow a specified target. However, if want to track a non-controlled target, the passive tracking device is failed. We propose a vision-based tracking system for multicopters, used computer vision method to track any target without additional tracking devices. In this study, propose scale candidate graphs and scale tables to improve KCF. There are also stable results when the scale changes. The proposed an adaptable scaled KCF algorithm, when the KCF tracking failed, a feature-based matching detector is used to re-detect the target. Several experiments on various scene based on the proposed approach were conducted and evaluated. Stable tracking results were obtain to show the feasibility of the proposed system.

Publisher

EJournal Publishing

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Human Target Detection and Tracking Algorithm Based on Improved YOLOv7;2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER);2023-07-11

2. Analysis of lane-changing conflict between cars and trucks at freeway merging sections using UAV video data;Journal of Transportation Safety & Security;2022-11-22

3. Salp swarm algorithm based on golden section and adaptive and its application in target tracking;IET Image Processing;2022-04-29

4. An improved kernel correlation filter for complex scenes target tracking;Multimedia Tools and Applications;2022-03-12

5. Multiple Cues-Based Robust Visual Object Tracking Method;Electronics;2022-01-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3