本文關(guān)鍵詞：基于面部特征分析的疲勞駕駛檢測(cè)算法研究　出處：《中北大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 疲勞檢測(cè) 膚色提取 人臉定位 人臉特征點(diǎn)定位 PERCLOS

【摘要】：在現(xiàn)有基礎(chǔ)上人們對(duì)生活質(zhì)量的要求愈來(lái)愈高,為了達(dá)到目標(biāo)便不可避免地需要長(zhǎng)期工作而導(dǎo)致勞累、困乏,在靜態(tài)情況下發(fā)生困乏只需要休息就可以了,而當(dāng)駕駛員在疲勞狀態(tài)下繼續(xù)駕駛車輛,則可能發(fā)生不可挽救的災(zāi)禍。疲勞不能夠消除,但可以提醒,只要能在疲勞之初對(duì)駕駛員提出一定的示警,即可大概率避免交通事故的發(fā)生。為了實(shí)現(xiàn)此功能,就必須對(duì)駕駛員的狀態(tài)進(jìn)行實(shí)時(shí)的監(jiān)控,而非接觸性的狀態(tài)監(jiān)控方式又是諸多方法中最為合適的一種。本文針對(duì)相關(guān)技術(shù)進(jìn)行了研究創(chuàng)新,對(duì)駕駛員面部特征進(jìn)行了提取分析,具體工作如下:(1)對(duì)四種膚色提取方法進(jìn)行實(shí)驗(yàn),最終選定兩種表現(xiàn)效果較好的膚色檢測(cè)進(jìn)行權(quán)值組合,實(shí)驗(yàn)表明組合后的膚色檢測(cè)可以在相同時(shí)間復(fù)雜度下獲得更優(yōu)良的準(zhǔn)確度,是單一膚色檢測(cè)產(chǎn)生像素偏差的一半以下。(2)提出一種新的駕駛員疲勞檢測(cè)方法,通過(guò)常識(shí)及實(shí)驗(yàn)分析發(fā)現(xiàn),正常駕駛與疲勞駕駛的行為習(xí)慣會(huì)有所不同,即在正常駕駛時(shí)駕駛員會(huì)在一定時(shí)間內(nèi)觀察各個(gè)后視鏡,而疲勞駕駛狀態(tài)下該行為會(huì)被弱化甚至遺忘,通過(guò)人臉定位得到人臉運(yùn)動(dòng)曲線圖來(lái)判斷駕駛員是否處于疲勞狀態(tài)。(3)學(xué)習(xí)了傳統(tǒng)的人臉特征點(diǎn)定位算法,在SDM人臉特征點(diǎn)檢測(cè)的基礎(chǔ)上對(duì)眼睛特征點(diǎn)進(jìn)行跟蹤,提出了基于人眼拓?fù)浣Y(jié)構(gòu)的人眼特征點(diǎn)跟蹤,能夠快速得到人眼特征點(diǎn)位置,在此基礎(chǔ)上提出了基于PERCLOS判定準(zhǔn)則的人眼寬高比值分析和人眼區(qū)域黑色像素面積分析的疲勞駕駛檢測(cè)方法,實(shí)驗(yàn)證明本文算法具有很好的準(zhǔn)確性。
[Abstract]:On the basis of the existing quality of life that people demand more and more high, in order to achieve the goal will inevitably require long-term work and lead to tired, sleepy, sleepy occurred in the static case just need to rest it, and when the drivers in fatigue state continues to drive the vehicle, there may be irreparable disaster. No fatigue to eliminate, but can remind, as long as in the beginning of the driver fatigue some warning, you can probably rate to avoid traffic accidents. In order to achieve this function, it must be real-time monitoring of the status of the driver, rather than state monitoring contact and many methods one of the most suitable this paper studies the innovation. The related technology, the driver's facial features are extracted and analyzed, the specific work is as follows: (1) four kinds of color extraction method of experiment, finally selected two The weight combination performs better skin color detection, skin detection experiments show that the combination can obtain better accuracy at the same time complexity, is half the single color detection generates pixel deviation below. (2) proposed a new method for driver fatigue detection, through the analysis of knowledge and experiments, normal driving with the fatigue driving behavior will be different, that in normal driving the driver will observe all mirrors in a certain period of time, and the state of fatigue driving behavior will be weakened or even forgotten by the face positioning face motion curve to determine whether the driver is fatigue. (3) studied the facial feature points the traditional location algorithm, based on SDM facial feature points detection on tracking feature points of eyes, the topological structure of the human eye feature point tracking based on can We quickly get the location of human eye feature points. On this basis, a fatigue driving detection method based on PERCLOS criterion is proposed, which is used to analyze the ratio of eye width to height and the black pixel area of human eye. Experimental results show that the algorithm is of good accuracy.

【學(xué)位授予單位】：中北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.41

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本文編號(hào)：1358878