【正文】 不利于目標(biāo)的準(zhǔn)確檢測,影響檢測準(zhǔn)確度,這有待于日后進(jìn)一步的研究和學(xué)習(xí)。本文設(shè)計(jì)了一種實(shí)時可靠的基于虛擬檢測線的交通流量檢測算法,該算法能夠一定的程度上的在復(fù)雜路況條件下精確的對車流量進(jìn)行檢測。關(guān)鍵詞：視頻檢測技術(shù)； 車流量統(tǒng)計(jì)； 虛擬線圈更新； 自適應(yīng)背景相減法 西南交通大學(xué)本科畢業(yè)設(shè)計(jì)（論文） 第 VI 頁AbstractIn the Intelligent Traffie System，parameter measurement of realtime traffic flow is being more and more flow parameter includes vehicle flow, vehicle velocity, roadoccupied rate and so on. There are many kinds of ways to measure parameters, but the technology of video vehicle detection based on image processing has been a hot field in Intelligent Traffic System, because it has prominent advantage that the detectiong field is extensive and the system setting is flexible .Therefore, the detection technology of traffic flow based on video bees an importance of aspect and foundation.Based on reading and learning the Intelligent Traffic System of home and abroad, the background of the Intelligent Traffic System, the advantages of video detection technolog and the studing situation of the Intelligent Traffic System in national and international are introduced firstly. After years of constant development, it has made a lot of relevant algorithms and solutions. Based on learning and uderstanding these results, those methods are used to set the virtual line to achieve the algorithm of traffic volume statistic. In this paper, the main course of the study is to use the algorithms of digital image, image enhancement, image segmentation, background subtraction, virtual loop update, virtual loop detection within the vehicle. Image segmentation, background subtraction, virtual loop update are the core of this paper and described in detail. Background subtraction introduces four mon algorithms, and analyzes the advantages and disadvantages of each algorithm, bines with the advantages and disadvantages of various algorithms. Finally, in this paper, we use an adaptivedbackground subtraction. The algorithm can extract a good target image, but it is more sensitive to the external factors, while the emergence of many pseudomoving target, which is not conducive to the precise of target detection and effect the accuracy of detection, so it is subject for further research and study. This paper presents a reliable realtime traffic flow algorithm based on virtual test line detection. To some extend, this algorithm can detect the traffic flow precisly under the condition of plexity.Keywords: video detection technolog。 traffic flow statistics。 virtual loops update。 adaptivedbackground subtraction 西南交通大學(xué)本科畢業(yè)設(shè)計(jì)（論文） 第 VII頁目 錄摘 要 ..............................................................................................................................IVABSTRACT...............................................................................................................................V第 1章 緒 論 ......................................................................................................................1 本論文的背景和意義 .............................................................................................1 國內(nèi)外研究現(xiàn)狀 .....................................................................................................3 本論文研究內(nèi)容和方法 .........................................................................................5 研究內(nèi)容 ........................................................................................................5 研究方法 ........................................................................................................5 本論文的結(jié)構(gòu)安排 .................................................................................................6第 2章 系統(tǒng)總體設(shè)計(jì) ..........................................................................................................7 總體設(shè)計(jì) ..................................................................................................................7 系統(tǒng)開發(fā)環(huán)境 ..........................................................................................................8 Visual Studio 2022 介紹 ................................................................................8 介紹 ............................................................................................9 WinAVI Video Converter 介紹 ...................................................................10 系統(tǒng)環(huán)境配置 .........................................................................................................11 本章小節(jié) ................................................................................................................15第 3章 基于視頻車流量的算法研究 ................................................................................16 算法綜述 ................................................................................................................16 算法的詳細(xì)實(shí)現(xiàn) .....................................................................................................16 圖像數(shù)字化 ..................................................................................................16 圖像銳化 ......................................................................................................19 像素分類 ......................................................................................................20 圖像分割 ......................................................................................................20 背景相減 ......................................................................................................22 虛擬線的更新 ..............................................................................................24 虛擬線的車流量檢測 ..................................................................................25 本章小節(jié) ................................................................................................................27第 4章 軟件的實(shí)現(xiàn) ............................................................................................................28 軟件的實(shí)現(xiàn) .........................