The Implementation of a Red Object Tracking Algorithm with a Single, Static Camera

A. Arshad, Saman Cheema, Umair Ahsan
{"title":"The Implementation of a Red Object Tracking Algorithm with a Single, Static Camera","authors":"A. Arshad, Saman Cheema, Umair Ahsan","doi":"10.3390/engproc2021012040","DOIUrl":null,"url":null,"abstract":"In recent years, activity recognition and object tracking are receiving extensive attention due to the increasing demand for adaptable surveillance systems. Activity recognition is guided by the parameters such as the shape, size, and color of the object. This article purposes an examination of the performance of existing color-based object detection and tracking algorithms using thermal/visual camera-based video steaming in MATLAB. A framework is developed to detect and track red moving objects in real time. Detection is carried out based on the location information acquired from an adaptive image processing algorithm. Coordinate extraction is followed by tracking and locking the object with the help of a laser barrel. The movement of the laser barrel is controlled with the help of an 8051 microcontroller. Location information is communicated from the image-processing algorithm to the microcontroller serially. During implementation, a single static camera is used that provides 30 frames per second. For each frame, 88 ms are required to complete all three steps from detection to tracking, to locking, so a processing speed of 12 frames per second is implemented. This repetition makes the setup adaptive to the environment despite the presence of a single static camera. This setup can handle multiple objects with shades of red and has demonstrated equally good results in varying outdoor conditions. Currently, the setup can lock only single targets, but the capacity of the system can be increased with the installation of multiple cameras and laser barrels.","PeriodicalId":11748,"journal":{"name":"Engineering Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/engproc2021012040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In recent years, activity recognition and object tracking are receiving extensive attention due to the increasing demand for adaptable surveillance systems. Activity recognition is guided by the parameters such as the shape, size, and color of the object. This article purposes an examination of the performance of existing color-based object detection and tracking algorithms using thermal/visual camera-based video steaming in MATLAB. A framework is developed to detect and track red moving objects in real time. Detection is carried out based on the location information acquired from an adaptive image processing algorithm. Coordinate extraction is followed by tracking and locking the object with the help of a laser barrel. The movement of the laser barrel is controlled with the help of an 8051 microcontroller. Location information is communicated from the image-processing algorithm to the microcontroller serially. During implementation, a single static camera is used that provides 30 frames per second. For each frame, 88 ms are required to complete all three steps from detection to tracking, to locking, so a processing speed of 12 frames per second is implemented. This repetition makes the setup adaptive to the environment despite the presence of a single static camera. This setup can handle multiple objects with shades of red and has demonstrated equally good results in varying outdoor conditions. Currently, the setup can lock only single targets, but the capacity of the system can be increased with the installation of multiple cameras and laser barrels.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用单个静态摄像机实现红色目标跟踪算法
近年来,由于对适应性监控系统的需求不断增加,活动识别和目标跟踪受到了广泛的关注。活动识别是由物体的形状、大小和颜色等参数指导的。本文的目的是研究现有的基于颜色的目标检测和跟踪算法在MATLAB中使用基于热/视觉摄像机的视频蒸的性能。开发了一个实时检测和跟踪红色运动物体的框架。基于自适应图像处理算法获取的位置信息进行检测。坐标提取之后,借助激光桶跟踪并锁定目标。激光筒的运动由8051单片机控制。位置信息由图像处理算法串行传送到单片机。在实现过程中,使用一个静态相机,每秒提供30帧。对于每一帧,需要88毫秒来完成从检测到跟踪到锁定的所有三个步骤,因此实现了每秒12帧的处理速度。这种重复使设置适应环境,尽管存在一个静态相机。这种设置可以处理带有红色阴影的多个物体,并且在不同的室外条件下显示出同样好的效果。目前,该装置只能锁定单个目标,但是该系统的容量可以通过安装多个摄像机和激光炮管而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.70
自引率
0.00%
发文量
0
期刊最新文献
MNET: Semantic Segmentation for Satellite Images Based on Multi-Channel Decomposition Location-Assistive and Real-Time Query IoT-Based Transport System The Thermal Analysis of a Sensible Heat Thermal Energy Storage System Using Circular-Shaped Slag and Concrete for Medium- to High-Temperature Applications Performance Enhancement of Photovoltaic Water Pumping System Based on BLDC Motor under Partial Shading Condition Solar Powered DC Refrigerator for Small Scale Applications
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1