【摘要】：近年來(lái)，基于圖像處理的交通信息檢測(cè)技術(shù)成了交通領(lǐng)域研究的熱點(diǎn)。作為交通信息檢測(cè)的重要組成部分，圖像處理的車(chē)速檢測(cè)系統(tǒng)有著廣泛的應(yīng)用前景。因此，進(jìn)行車(chē)速檢測(cè)方法的研究具有重要的意義。 論文對(duì)基于圖像處理的車(chē)速檢測(cè)系統(tǒng)和車(chē)速檢測(cè)算法進(jìn)行了研究，設(shè)計(jì)了適用于車(chē)速檢測(cè)的一維和二維攝像機(jī)標(biāo)定方法。論文的工作主要內(nèi)容有以下幾點(diǎn)： 1.視頻車(chē)速檢測(cè)系統(tǒng)。論文對(duì)車(chē)速檢測(cè)系統(tǒng)進(jìn)行了詳細(xì)的研究，分析現(xiàn)在存在的難點(diǎn)，針對(duì)本文設(shè)計(jì)了車(chē)速檢測(cè)系統(tǒng)的硬件結(jié)構(gòu)和軟件結(jié)構(gòu)。 2.攝像機(jī)標(biāo)定方法。將基于線(xiàn)性模型的一維標(biāo)定擴(kuò)展到二維標(biāo)定，提高了攝像機(jī)標(biāo)定的精度。 3.車(chē)速檢測(cè)算法。論文通過(guò)圖像處理提取目標(biāo)車(chē)輛，獲得目標(biāo)車(chē)輛的特征點(diǎn)，對(duì)特征點(diǎn)運(yùn)行軌跡進(jìn)行擬合，結(jié)合攝像機(jī)標(biāo)定將每一幀之間的像素距離轉(zhuǎn)化為實(shí)際距離，最后對(duì)得到的距離和時(shí)間數(shù)據(jù)進(jìn)行數(shù)據(jù)擬合，獲得目標(biāo)車(chē)輛的行駛速度。 本文設(shè)計(jì)了一種實(shí)用的車(chē)速檢測(cè)方法，，在城市道路中進(jìn)行了測(cè)試，能夠?qū)崿F(xiàn)車(chē)輛瞬時(shí)速度的實(shí)時(shí)檢測(cè)，在實(shí)際應(yīng)用中精度達(dá)到95%以上。本設(shè)計(jì)可以滿(mǎn)足實(shí)際應(yīng)用要求，可應(yīng)用于城市道理車(chē)速檢測(cè)，車(chē)速調(diào)查等方面。
[Abstract]:In recent years, traffic information detection technology based on image processing has become a hot research topic in the field of traffic. As an important part of traffic information detection, the speed detection system of image processing has a wide range of application prospects. Therefore, it is of great significance to study the speed detection method. In this paper, the speed detection system and speed detection algorithm based on image processing are studied, and a one-dimensional and two-dimensional camera calibration method suitable for speed detection is designed. The main contents of this paper are as follows: 1. Video speed detection system. In this paper, the speed detection system is studied in detail, the existing difficulties are analyzed, and the hardware structure and software structure of the speed detection system are designed. 2. Camera calibration method. The one-dimensional calibration based on linear model is extended to two-dimensional calibration, and the accuracy of camera calibration is improved. 3. Speed detection algorithm. In this paper, the target vehicle is extracted by image processing, the feature points of the target vehicle are obtained, the running trajectory of the feature points is fitted, and the pixel distance between each frame is transformed into the actual distance combined with camera calibration. Finally, the distance and time data are fitted to obtain the speed of the target vehicle. In this paper, a practical speed detection method is designed, which is tested in urban roads, which can realize the real-time detection of vehicle instantaneous speed, and the accuracy is more than 95% in practical application. This design can meet the requirements of practical application, and can be used in urban reasonable speed detection, speed investigation and so on.
【學(xué)位授予單位】：長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：U495

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本文編號(hào)：2482504