Designing CMOS hardware processor for vehicle tracking

Hua Tang, T. Kwon, Yi Zheng, Hairong Chang
{"title":"Designing CMOS hardware processor for vehicle tracking","authors":"Hua Tang, T. Kwon, Yi Zheng, Hairong Chang","doi":"10.1109/MWSCAS.2007.4488796","DOIUrl":null,"url":null,"abstract":"It is well known that vehicle tracking processes are very computationally intensive. Traditionally, vehicle tracking algorithms have been implemented using software approaches. The goal of this paper is to investigate the feasibility of developing a hardware-based tracking system. We propose a tracking algorithm with vehicle motion detection based on block matching algorithm, which is well suited to customized hardware implementation. The proposed tracking algorithm is first simulated in MATLAB and the CMOS circuit design was simulated in Cadence. When tested on traffic images captured from an intersection, it is found that vehicle movements can be accurately identified in spite of some noisy motion. Also, the estimated computational time for the hardware based tracking system is much reduced compared to traditional software-based tracking system.","PeriodicalId":256061,"journal":{"name":"2007 50th Midwest Symposium on Circuits and Systems","volume":"1 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 50th Midwest Symposium on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.2007.4488796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

It is well known that vehicle tracking processes are very computationally intensive. Traditionally, vehicle tracking algorithms have been implemented using software approaches. The goal of this paper is to investigate the feasibility of developing a hardware-based tracking system. We propose a tracking algorithm with vehicle motion detection based on block matching algorithm, which is well suited to customized hardware implementation. The proposed tracking algorithm is first simulated in MATLAB and the CMOS circuit design was simulated in Cadence. When tested on traffic images captured from an intersection, it is found that vehicle movements can be accurately identified in spite of some noisy motion. Also, the estimated computational time for the hardware based tracking system is much reduced compared to traditional software-based tracking system.
设计用于车辆跟踪的CMOS硬件处理器
众所周知,车辆跟踪过程的计算量非常大。传统上,车辆跟踪算法是使用软件方法实现的。本文的目标是研究开发基于硬件的跟踪系统的可行性。我们提出了一种基于块匹配算法的车辆运动检测跟踪算法,该算法非常适合定制硬件实现。首先在MATLAB中对所提出的跟踪算法进行了仿真,并在Cadence中对CMOS电路设计进行了仿真。通过对从十字路口采集的交通图像进行测试,发现尽管存在一些噪声,但仍能准确识别车辆的运动。此外,与传统的基于软件的跟踪系统相比,基于硬件的跟踪系统的估计计算时间大大减少。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信