基于嵌入式平臺(tái)的無人機(jī)視覺智能跟蹤系統(tǒng)開發(fā)
本文選題:嵌入式系統(tǒng) + 目標(biāo)檢測(cè)與跟蹤 ; 參考:《沈陽航空航天大學(xué)》2012年碩士論文
【摘要】:隨著現(xiàn)代社會(huì)的不斷發(fā)展進(jìn)步,人們對(duì)軍用設(shè)備和民用設(shè)備需求的不斷擴(kuò)大、以及對(duì)其要求的不斷提高,運(yùn)動(dòng)目標(biāo)的識(shí)別與跟蹤技術(shù)已經(jīng)快速發(fā)展為現(xiàn)代信息處理領(lǐng)域中一項(xiàng)至關(guān)重要的技術(shù),同時(shí)這項(xiàng)技術(shù)也是無人機(jī)野外戰(zhàn)場(chǎng)偵察中的重點(diǎn)和難點(diǎn),并在許多應(yīng)用領(lǐng)域內(nèi)發(fā)揮著不可替代的作用。目前,基于PC機(jī)的目標(biāo)檢測(cè)與跟蹤技術(shù)的發(fā)展已趨于成熟,但其在基于嵌入式平臺(tái)的視覺技術(shù)應(yīng)用領(lǐng)域的研究還處于初級(jí)階段。由于嵌入式系統(tǒng)具有體積小巧,便于攜帶等一系列PC機(jī)無法替代的優(yōu)點(diǎn),將其運(yùn)用于無人機(jī)野外戰(zhàn)場(chǎng)偵察、跟蹤打擊目標(biāo)等,可以使無人機(jī)的作用大大提高,因此如何對(duì)運(yùn)動(dòng)目標(biāo)進(jìn)行有效檢測(cè)和跟蹤并且在嵌入式系統(tǒng)中實(shí)現(xiàn)是目前急需解決的課題。 本文首先概述了基于嵌入式平臺(tái)的視覺智能跟蹤系統(tǒng)研究的背景、意義以及研究現(xiàn)狀,通過分析國(guó)內(nèi)外視覺智能跟蹤系統(tǒng)研究的發(fā)展現(xiàn)狀和應(yīng)用中所面臨的實(shí)際問題來說明本課題研究的重要性;然后提出了一種基于ARM嵌入式S3C2410處理器的視覺檢測(cè)與跟蹤系統(tǒng)的設(shè)計(jì)方案,并且將系統(tǒng)中涉及的重點(diǎn)設(shè)計(jì)方法進(jìn)行了詳述;主要包括嵌入式核心處理器的選擇、嵌入式操作系統(tǒng)的選擇等。其次具體介紹了嵌入式視覺智能跟蹤系統(tǒng)的硬件平臺(tái)和軟件設(shè)計(jì)方案,針對(duì)其中ARM-Linux平臺(tái)的搭建、USB攝像頭驅(qū)動(dòng)、OpenCV庫的移植等問題作了重點(diǎn)說明。然后對(duì)系統(tǒng)采用的目標(biāo)檢測(cè)和跟蹤算法進(jìn)行了詳細(xì)的敘述,并且通過仿真實(shí)驗(yàn)驗(yàn)證了本算法的有效性。 最后通過實(shí)驗(yàn)仿真,驗(yàn)證了所提出的基于嵌入式平臺(tái)的視覺智能跟蹤系統(tǒng)設(shè)計(jì)方案的合理性,并且指出本研究的未來發(fā)展的方向。這種分析和設(shè)計(jì)的方法對(duì)視覺跟蹤系統(tǒng)的嵌入式應(yīng)用具有一定的指導(dǎo)和借鑒意義。
[Abstract]:With the continuous development and progress of modern society and the increasing demand for military equipment and civilian equipment, and the continuous improvement of its requirements, the recognition and tracking technology of moving targets has rapidly developed into a crucial technology in the field of modern information processing, and this technology is also the field battlefield reconnaissance of UAV. The key and difficult points, and play an irreplaceable role in many applications. At present, the development of target detection and tracking technology based on PC has become mature, but the research on the application field of visual technology based on embedded platform is still in the primary stage. Because the embedded system has small size, easy to carry and so on The advantages of PC, which can not be replaced, are used in unmanned aerial vehicle field reconnaissance, tracking targets and so on, which can greatly improve the effect of UAV. Therefore, how to detect and track the moving target effectively and realize it in embedded system is an urgent problem to be solved at present.
In this paper, the background, significance and research status of the research on the visual intelligent tracking system based on embedded platform are summarized, and the importance of the research is illustrated by analyzing the current development status of the research on the visual intelligent tracking system at home and abroad and the practical problems faced in the application. Then a kind of embedded S3C2410 based on ARM is proposed. The design of the visual inspection and tracking system of the device, and the key design methods involved in the system are described in detail, including the selection of the embedded core processor and the selection of the embedded operating system. Secondly, the hardware platform and the software design of the embedded visual intelligent tracking system are introduced in detail, in which the ARM is designed. The construction of the -Linux platform, the USB camera driver, and the transplant of the OpenCV library are emphasized. Then the target detection and tracking algorithms used in the system are described in detail, and the effectiveness of the algorithm is verified by the simulation experiment.
Finally, through the experimental simulation, the rationality of the proposed design scheme of the visual intelligent tracking system based on the embedded platform is verified, and the direction of the future development of this research is pointed out. This method of analysis and design has some guidance and reference for the embedded application of the visual tracking system.
【學(xué)位授予單位】:沈陽航空航天大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類號(hào)】:V279;TP368.1
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 辛建光,潘孟春,陳棣湘,蔣巧文;嵌入式Web視頻服務(wù)器的設(shè)計(jì)[J];兵工自動(dòng)化;2005年01期
2 滕克難;艦空導(dǎo)彈反導(dǎo)作戰(zhàn)效能綜合評(píng)估方法探討[J];彈箭與制導(dǎo)學(xué)報(bào);2003年02期
3 鄒湘伏;何清華;賀繼林;;無人機(jī)發(fā)展現(xiàn)狀及相關(guān)技術(shù)[J];飛航導(dǎo)彈;2006年10期
4 萬文靜;程詠梅;楊陽;;一種基于矩特征和特征光流的運(yùn)動(dòng)目標(biāo)跟蹤方法[J];計(jì)測(cè)技術(shù);2006年05期
5 邱曉紅,景華;無人機(jī)系統(tǒng)技術(shù)發(fā)展趨勢(shì)[J];航空科學(xué)技術(shù);2000年01期
6 廖朝佩;;自動(dòng)目標(biāo)識(shí)別器的發(fā)展現(xiàn)狀及應(yīng)用分析[J];紅外與激光技術(shù);1992年02期
7 喬傳標(biāo);王素玉;卓力;沈蘭蓀;;智能視覺監(jiān)控中的目標(biāo)檢測(cè)與跟蹤技術(shù)[J];測(cè)控技術(shù);2008年05期
8 張玲;蔣大永;何偉;周陽;;基于Mean-shift的改進(jìn)目標(biāo)跟蹤算法[J];計(jì)算機(jī)應(yīng)用;2008年12期
9 萬琴;王耀南;;一種多運(yùn)動(dòng)目標(biāo)檢測(cè)、跟蹤方法研究與實(shí)現(xiàn)[J];計(jì)算機(jī)應(yīng)用研究;2007年01期
10 賈小軍;喻擎蒼;;基于開源計(jì)算機(jī)視覺庫OpenCV的圖像處理[J];計(jì)算機(jī)應(yīng)用與軟件;2008年04期
相關(guān)碩士學(xué)位論文 前2條
1 余浩;基于DSP的運(yùn)動(dòng)目標(biāo)圖像跟蹤系統(tǒng)的實(shí)現(xiàn)[D];湖南大學(xué);2006年
2 王陳陽;基于視頻的目標(biāo)檢測(cè)跟蹤的研究與實(shí)現(xiàn)[D];西北大學(xué);2007年
,本文編號(hào):2076775
本文鏈接:http://www.sikaile.net/kejilunwen/jisuanjikexuelunwen/2076775.html