• <tr id="yyy80"></tr>
  • <sup id="yyy80"></sup>
  • <tfoot id="yyy80"><noscript id="yyy80"></noscript></tfoot>
  • 99热精品在线国产_美女午夜性视频免费_国产精品国产高清国产av_av欧美777_自拍偷自拍亚洲精品老妇_亚洲熟女精品中文字幕_www日本黄色视频网_国产精品野战在线观看 ?

    Overload intelligent detection method of lift platform’s number of people under auxiliary visual

    2015-10-29 07:15:46YuePANG
    機床與液壓 2015年4期
    關(guān)鍵詞:隔膜泵

    Yue PANG

    (Chongqing Vocational Institute of Engineering, Chongqing 402260, China)

    ?

    Overload intelligent detection method of lift platform’s number of people under auxiliary visual

    Yue PANG*

    (ChongqingVocationalInstituteofEngineering,Chongqing402260,China)

    In view of the overload detection of current lift platform’s number of people is mainly manual work, which has man-made interference and its disadvantages are very obvious, a lift platform based on computer vision image statistical method was put forward. Discrete wavelet transform algorithm was used to de-noise the collect images of lift platform and the Gaussian curve fitting method was used to have image feature extraction. The change of head and the grey value of contour area of background are continuous. There are differences between the texture features of workers contour and the contour of a background. And the gray value of workers contour edge pixel has gradient change. We divided the head and marked and counted the characteristics of personnel area according to segmentation result. The experimental results show that the method used can have statistics on the number of people on the elevator platform accurately and its error is less than 5%, which can meet the demand of practical application.

    Elevator platform, People counting, Computer vision

    People counting is the key of the monitoring and control system of lift platform, and the number of workers on lift platform is the very important factor to the personal safety of workers and the safe operation of it[1-2]. Lift platform has very strict requirements in the number of workers, which always be neglected. Therefore it is necessary to have an accurate accounting of workers on the platform to avoid the overload operation and to make sure the personal safety of workers and the safe operation of lifter. Manufacturers can set the “overload protection” according to the load capability and self security feature of the lifter: when the weight of workers is over the rated weight, the audio will have an alarm sound and the lifter cannot run in order to ensure the personal safety of workers[3-4]. Now the detection of overload of lifter is mainly manual work and will be influenced by human factor, which has obvious disadvantages and lowers the accuracy of people counting on the platform [5].

    1 Preprocessing method for image acquisition of lift platform features

    1.1Remoteimagetransmissionprincipleofliftplatform

    The image acquisition equipment of the lift will have the collected image compression first, and then compression image will be remotely transmitted to the security monitoring system [6-7]. The steps are as follows.

    Suppose that the number of workers on the platform lift isN, and workers image transmission distance isl, and the initial moment of image transmission ist0, and reaches moments of image to the security monitoring system ist1, and if the number of pixels of the arbitrary one frame of imageRiisM, and the gray value of it isSi, the image data compression process can be calculated through formula (1):

    (1)

    The above formula can calculate the image compression coefficient and can describe the degree of image compression.

    Image resolution in security monitoring system can use formula (2) to calculate:

    (2)

    The above formula can calculate the resolution of the image, and can have the description of image definition.

    1.2 Disadvantages of long-distance image transmission

    From formula (1), we can see that the image compression coefficient decreases with the increase of the distance. Through formula (2), we can conclude that the decrease of image compression coefficient will reduce the resolution of the image in the security monitoring system. Because of the long distance between the elevator and security monitoring system, image will be affected by other factories interference source in the transmission process and the clarity of image will be reduced by compression, and therefore it contains a lot of noise. The traditional denoising methods are mainly image transmission method based on neural network algorithm and image transmission method based on ant colony algorithm and so on, whose denoising effect is not ideal, which leads to the poor clarity of image [8-9]. A new denoising method of image based on discrete wavelet transform was proposed.

    Fig.1 Denoising effect of traditional algorithm

    1.3Denoisingofliftplatformimage

    Due to the long distance of communication and great external interference factors in the transmission process, the transmission of images of workers on the lift platform exists a large number of random noise, which leads to that staff in security monitoring system cannot have exact statistics of the number of workers in lift. After the Image being transmitted to the security monitoring system, the expansion of it is an image sequence, which is represented byg(y). Using the formula (3), we can calculate the transformation of the image sequence:

    (3)

    If the parameters in the formula satisfyk≥k0, the following formula can be obtained:

    (4)

    g(y),γk0,l(y) andφk,l(y) in the above formula are all functions of the discrete variables. Collect arbitrarily sampley0,Δy,y=1,2,…,N,g(y)=g(y0,yΔy),and setk0=0,N=2′, and theny=1,2,…,N,k=1,2,…,Kandl=1,2,…,2′-1 can be summed up. Arbitrarily collect an image, and select four pixelsg(0)=1,g(1)=4,g(2)=-3 andg(3)=0, and sum upy=1,2,3,4,k=1,2, and substitute the above four pixels into the above formula, we can get the following formula:

    (5)

    Using the above formula, we can sample the image features of the workers on the sample. According to the formula below, the sample can be collected from the similar interval:

    (6)

    According to the formula below, we can have discrete wavelet transform:

    (7)

    The method of discrete wavelet transform can remove the noise from outside factor and eliminate the noise caused by external factors, thus to improve the contour articulation of the image.

    Fig.2 Comparison of the denoising effect of the proposed algorithm and the traditional denoising method

    2 Personnel statistics based on image features

    2.1Gausscurvefittingprocessofpersonnelhead

    In the process of image processing, the computer is mainly based on the contour of workers. Contour feature is the discontinuity of gray value between the background and the target image. The main features of the contour of the lift platform are: ① the gray value of the background contour is continuous; ② the texture features of the contour of workers and the texture of the background are different; ③ the gray value of the edge pixels of the workers’ contour has gradient changes.

    Removing the noise of image acquisition can improve image clarity and improve the contour feature of the workers then. Using Gaussian curve fitting method, we had workers image processing, a Gaussian curve by deformation is as shown in equation (8):

    (8)

    Set the curve of second degree isz=By2+Cy+D, and then the gray value of pixels in the image of the workers can be calculated by using the formula (9):

    (9)

    In Fig.3, we set the maxima of gray scale difference value is 0 point, with the corresponding gray value isg0, and set the approaching two pixels between -1 and 1, and the two corresponding to the pixel gray value areg-1andg1, then the following formula can be used to describe the three pixel gray value:

    (10)

    g0=1/12B+D

    (11)

    g1=26/24B+C+D

    (12)

    The values of pointB,C,Dcan be calculated with the above formulas:

    D=g0-1/12B=12/13g0-1/24g-1-1/24g1

    With the formula (13), the space position parameters of top point can be calculated:

    (13)

    After the logarithm transformation of the formula, as shown in the formula (14), the spatial position parameters of worker images can be obtained:

    (14)

    By calculating each of the pixels of the workers’ image area, we can get a clear outline of the workers’ images, as shown in Fig.4.

    Fig.3 Curve fitting outline of worker images

    Fig.4 Gauss curve fitting processing image

    2.2Peoplecountingandpositionmarking

    After the processing of statistics and labeling of the outline, the statistical ideas used in this paper are as follows:

    1) The idea of the people counting of the image of a frame lift platform is: inputting the image, marking the number and outputting the image. We set these three array which are, Inimage represents inputting the image, Markimage represents a marker image (where 0 is the background, 1 is the aim), Outimage represents outputting the image (where 1 is the first goal, and 2 is the second goal, and by parity of reasoning) respectively.

    2) A scan was carried out from the periphery of an image, and tracked when scanned target of 1. In the scanning process, taking the boundary points of the contour as the target point to scan and if it found area points on the surrounding, it kept them in Outimage, while if it did not find pixel whose value is 1 around, the mark is over. After the end of the tag, it will continue to scan the remaining region for the pixels whose median is 1. When it scans to the new area, the value of Outimage will be increased by 1, so the target quantities can be expressed by Outimage.

    3) Using the method (2) to scan the current image and end the tag. The number and position of the head of each person were marked. The results of the tag are shown in Fig.5.

    Fig.5 Tag results

    3 Experimental simulation results analysis

    In the transmission process, the clarity of the image might be reduced and the image could contain a lot of random noise after compression. The effect of traditional denosing method is poor. Therefore, we suggested a method to clear statistic of people number on the lift platform based on discrete wavelet transform algorithm, in which the discrete wavelet transform algorithm was used to deal with the noise and eliminate the noise to provide accurate number foundation for the extraction of workers contour features. The image pixels of the workers were calculated by computer vision image technology and the clear portrait was obtained, which can realize speed statistics of the number of workers on the lift platform.

    In order to verify the superiority of the algorithm proposed in this paper, a simulation experiment was needed. Experiments were carried out by simulating the lift platform. Equipment used in the tests include: the types of ag-hp x 250 of the camera produced by Matsushita, digital image acquisition card MV-1394B produced by the Microvision production models. And test configuration of the computer in this test includes: Intel Pentium Dual Core E5300 2.6 GHz CPU, 2G DDR3 memory. The image size is 320 * 240. When the test is fixed, the camera is placed in the appropriate height, and the area of the region is similar to the lift platform, and the image is processed by the time cut of every five frame. In the experiment, the images of the transmission of the traditional algorithm were compared. The results are shown in Fig.6.

    Fig.6 Experimental contrast effect chart

    Through the comparison of the images that the algorithm presented in this paper for image denoising processing can avoid the disadvantages of traditional image and can realize fast and accurate statistics of the number of workers on the platform lift. To analyze the experimental data, we summarized the following table:

    Table 1 Comparison between the algorithm in this paper and the traditional algorithm

    NumberofPeopleinLiftProposedAlgorithmDetectednumberofpeopleAccuracyrateTime-consuming/msTraditionalalgorithmDetectednumberofpeopleAccuracyrateTime-consuming/ms22100%692100%7644100%814100%11266100%132583%18688100%197787.50%26910990%243880%377121191.60%3051083.40%454424095.30% 3685.70%

    From the comparison of diagram and experimental comparison chart, we can see that this algorithm is very good to solve the noise problem and can clear and accurately have the number of workers statistical on lift platform, which avoids the disadvantage of traditional algorithm, that the resolution is not high, poor accuracy and drawbacks. In the case of the time consuming and the traditional algorithm, the accuracy of the statistic is greatly improved (95.3%). The results show that the algorithm is of higher accuracy and has strong practicability.

    4 Conclusions

    This paper presented a statistical method for the people number counting of lift platforms based on computer visual images. Using discrete wavelet transform to denoise the image collection and improve the image definition, using Gaussian curve to calculate contour pixels one by one, we got a clear outline, and finally marked outline and count, and can have timely and accurate statistics on the number of workers on the platform lift to timely judge if the number of workers on lift platform is overloaded in order to protect the personal safety of workers, which is of high practical value.

    [1]CHEN T H, CHEN T Y, CHEN Z X.An Intelligent People -Flow Counting Method for Passing through a Gate[C]//Proceedings of IEEE Conference on Robotics, Automation and Mechatronics Bangkok, Thailand,2006:1-6.

    [2]IRSHAD A, MATTHEW N.Multiple Human Tracking in High Density Crowds [J]. Image and Vision Computing,2012,30:966-977.

    [3]YING Jun, LI Qiang. Counting algorithm for numbers of people in elevator car based on improved Hough transform. Computer Engineering and Applications, 2014, 50(19):165-168.

    [4]YING Jun, LI qiang. Based on the improved Hough transform inside the elevator car number statistics algorithm [J]. Computer engineering and application, 2013,10.3778 / j.i SSN. 1002-1002. 1211-0053.

    [5]JIN Haiyan,XIONG Qingyu, et al.Number Statistical Method within Elevator Car Based on Image Processing [J]. Chinese Journal of Scientific Instruments, 2011 ,32(6):161-165.

    [6]Jin HaiYan, Xiong Qingyu et al. Based on image processing of the elevator car number in statistical method research [J]. Journal of instruments and meters, 2011, 32 (6) : 161-165.

    [7]LI Guangjie. A Face Data Nuclear Characteristics of the Complex Network Anomaly Detection Algorithm [J]. Bulletin of Science and Technology, 2013,8: 27-29.

    [8]Li Guangjie. A data-oriented nuclear characteristics of complex network anomaly detection algorithm [J]. Science and technology, 2013, 8: 27-29.

    [9]BORGEFORS G. Distance Transformation in Arbitrary Dimensions [J].Computer Vision,Graphics and Image Processing, 1984, 27:321- 345.

    [10]VINCENT L, SOILLE P. Watershed in digital space: An Efficient Algorithm Dased on Immersion Simulation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1991,13: 583-598.

    [11]WU Zuoling, CHEN Xiong, et al. Palm-Dorsal Vein Biometrics Based on Watershed Algorithm [J].Microelectronics & Computer, 2008, 27(10):114-119.

    [12]Wu Zuoling, Chen Xiong et al. A kind of near infrared hand vein image recognition algorithm [J]. Journal of microelectronics and computers, 2008, 27 (10): 114-119.

    [13]LI Y Y, SHI H Z, et al. Quantum Evolutionary Clustering Algorithm based on Watershed Applied to SAR Image Segmentation[J]. NeuroComputing, 2012, 87: 90-98.

    (Continued from 105 page)

    摘要:采用Pro/e軟件進行隔膜泵動力端-曲柄滑塊機構(gòu)的三維建模,利用機械系統(tǒng)動力學(xué)仿真軟件ADAMS構(gòu)建虛擬樣機,通過樣機仿真確定隔膜泵曲柄滑塊機構(gòu)的運動學(xué)和動力學(xué)參數(shù),為隔膜泵動力端的設(shè)計打下基礎(chǔ)。

    關(guān)鍵詞: Pro/E建模; 隔膜泵; 虛擬樣機;動力仿真

    10.3969/j.issn.1001-3881.2015.24.022 Document code: A

    TP391.41

    輔助視覺下升降機平臺人數(shù)超載智能檢測方法

    龐玥*

    重慶工程職業(yè)技術(shù)學(xué)院, 重慶402260

    針對當前的升降機平臺人數(shù)超載檢測以人工為主,存在人為因素干擾、弊端較為明顯的情況,提出一種基于計算機視覺圖像的升降機平臺人數(shù)統(tǒng)計方法。利用離散小波變換算法對采集的升降機平臺圖像進行去噪處理,通過高斯曲線擬合的方法進行人員頭部圖像特征提取,再根據(jù)人員頭部與背景輪廓區(qū)域灰度值的變化是連續(xù)性的、工人輪廓與背景輪廓的紋理特征有差異性、工人輪廓邊緣像素的灰度值存在梯度變化這3大特征,對人員頭部進行分割,根據(jù)分割結(jié)果對人員特征區(qū)域進行標記和計數(shù)。結(jié)果表明:利用該方法能夠準確地對升降機平臺上的人數(shù)進行統(tǒng)計,誤差低于5%,符合實際應(yīng)用需求。

    升降機平臺;人數(shù)統(tǒng)計;計算機視覺

    隔膜泵動力端虛擬樣機的計算機仿真研究與驗證

    程志銘*,閆波,趙小飛

    山西機電職業(yè)技術(shù)學(xué)院, 山西 長治046011

    20 March 2015; revised 13 June 2015;

    Yue PANG,

    E-mail: 93439232@qq.com

    accepted 15 October 2015

    Hydromechatronics Engineering

    http://jdy.qks.cqut.edu.cn

    E-mail: jdygcyw@126.com

    猜你喜歡
    隔膜泵
    氣動隔膜泵自動啟停裝置的研究與應(yīng)用
    價值工程(2023年1期)2023-01-14 12:35:14
    一種微型隔膜泵的結(jié)構(gòu)設(shè)計及流量驗證分析
    一種七氟異丁腈氣體酸度在線檢測裝置
    低溫與特氣(2021年5期)2021-04-04 16:20:19
    隔膜泵動力端結(jié)構(gòu)改造研究
    軟管式液壓隔膜泵的研發(fā)與應(yīng)用
    一種手動雙腔隔膜泵的設(shè)計與研究
    隔膜泵刺閥原因分析與解決措施
    濕法冶金用大型隔膜泵結(jié)構(gòu)改進
    隔膜泵在海洋油氣平臺中的應(yīng)用
    新型高效節(jié)能隔膜泵液壓控制系統(tǒng)
    重型機械(2019年4期)2019-09-05 09:18:00
    免费观看精品视频网站| 国产av一区在线观看免费| 久久精品国产99精品国产亚洲性色| 精品久久久噜噜| 久久久久久久久中文| 中文亚洲av片在线观看爽| 成人三级黄色视频| 观看美女的网站| 久久精品国产亚洲网站| 观看免费一级毛片| 久久99热6这里只有精品| 我的老师免费观看完整版| 搡老熟女国产l中国老女人| 可以在线观看毛片的网站| 日本在线视频免费播放| 级片在线观看| 中文字幕免费在线视频6| 亚洲第一电影网av| 国产伦精品一区二区三区四那| 国产在视频线在精品| 精品一区二区三区av网在线观看| 亚洲国产精品久久男人天堂| 最新在线观看一区二区三区| 色精品久久人妻99蜜桃| 午夜精品在线福利| 久久久久国内视频| 免费不卡的大黄色大毛片视频在线观看 | 色播亚洲综合网| 真人一进一出gif抽搐免费| 亚洲第一电影网av| 在线观看免费视频日本深夜| www日本黄色视频网| 观看美女的网站| 国产视频内射| 特级一级黄色大片| 男人舔女人下体高潮全视频| 天天躁日日操中文字幕| 观看免费一级毛片| 日本-黄色视频高清免费观看| 免费av毛片视频| 一个人观看的视频www高清免费观看| 亚洲精品456在线播放app | 啪啪无遮挡十八禁网站| 欧美极品一区二区三区四区| 欧美最新免费一区二区三区| 国产精品免费一区二区三区在线| 好男人在线观看高清免费视频| 久久国产精品人妻蜜桃| 亚洲中文字幕日韩| 99热只有精品国产| 桃红色精品国产亚洲av| 99热这里只有是精品50| ponron亚洲| 国产国拍精品亚洲av在线观看| 久久久色成人| 看黄色毛片网站| 此物有八面人人有两片| 日本免费a在线| 国产精品伦人一区二区| 免费无遮挡裸体视频| avwww免费| 丝袜美腿在线中文| 国产又黄又爽又无遮挡在线| 两个人的视频大全免费| 狂野欧美激情性xxxx在线观看| 欧美xxxx性猛交bbbb| 国产激情偷乱视频一区二区| 日本免费一区二区三区高清不卡| 欧美性感艳星| 国产精品久久电影中文字幕| 亚洲人成网站在线播放欧美日韩| 99在线人妻在线中文字幕| av女优亚洲男人天堂| 成人欧美大片| 国产老妇女一区| 中文字幕高清在线视频| а√天堂www在线а√下载| 春色校园在线视频观看| 国产精品久久久久久久久免| 成人欧美大片| 亚洲经典国产精华液单| 午夜福利18| 国产国拍精品亚洲av在线观看| 欧美性猛交╳xxx乱大交人| 日韩欧美精品免费久久| 欧美成人免费av一区二区三区| 日韩一区二区视频免费看| 99久久精品一区二区三区| 亚洲va日本ⅴa欧美va伊人久久| 国产伦在线观看视频一区| 国产一区二区三区视频了| 18禁黄网站禁片免费观看直播| 变态另类丝袜制服| 欧美成人一区二区免费高清观看| 毛片女人毛片| 国产精品美女特级片免费视频播放器| 国产单亲对白刺激| 免费黄网站久久成人精品| 99久国产av精品| 欧美在线一区亚洲| 亚洲人成伊人成综合网2020| 老师上课跳d突然被开到最大视频| 亚洲精华国产精华液的使用体验 | 国产伦精品一区二区三区四那| 人妻少妇偷人精品九色| 久久久久久国产a免费观看| 他把我摸到了高潮在线观看| 美女黄网站色视频| 亚洲国产欧洲综合997久久,| 精品一区二区免费观看| 丰满的人妻完整版| 91麻豆精品激情在线观看国产| 国产主播在线观看一区二区| 天堂√8在线中文| 国产精品人妻久久久影院| 超碰av人人做人人爽久久| 99在线视频只有这里精品首页| 真人做人爱边吃奶动态| 深夜a级毛片| 少妇猛男粗大的猛烈进出视频 | 又爽又黄无遮挡网站| 搞女人的毛片| 国产91精品成人一区二区三区| 欧美成人一区二区免费高清观看| 国产av麻豆久久久久久久| 波多野结衣高清无吗| 日本a在线网址| 亚洲不卡免费看| 久久精品91蜜桃| 男女边吃奶边做爰视频| 欧美日韩亚洲国产一区二区在线观看| 国产精品一区二区性色av| 露出奶头的视频| 国产精品伦人一区二区| 变态另类成人亚洲欧美熟女| 女生性感内裤真人,穿戴方法视频| 久久久久性生活片| 国产精品国产高清国产av| 香蕉av资源在线| 男人的好看免费观看在线视频| 可以在线观看毛片的网站| 日本与韩国留学比较| 岛国在线免费视频观看| 真实男女啪啪啪动态图| 精品一区二区三区人妻视频| 久久久精品欧美日韩精品| 91精品国产九色| 欧美区成人在线视频| 久久人人爽人人爽人人片va| aaaaa片日本免费| 国内精品久久久久精免费| 三级男女做爰猛烈吃奶摸视频| 国产视频一区二区在线看| 无遮挡黄片免费观看| avwww免费| 精品久久国产蜜桃| 国产精品免费一区二区三区在线| 亚洲18禁久久av| 国产一区二区亚洲精品在线观看| 午夜精品在线福利| 尤物成人国产欧美一区二区三区| 看黄色毛片网站| 悠悠久久av| 色噜噜av男人的天堂激情| 免费人成在线观看视频色| 内射极品少妇av片p| 亚洲av二区三区四区| 悠悠久久av| 搡老岳熟女国产| 国产免费av片在线观看野外av| 国产男人的电影天堂91| 我要看日韩黄色一级片| 99久久无色码亚洲精品果冻| 久久久久国内视频| 午夜精品久久久久久毛片777| 成年免费大片在线观看| 亚洲男人的天堂狠狠| 最近最新中文字幕大全电影3| 亚洲欧美日韩高清在线视频| 看黄色毛片网站| 大型黄色视频在线免费观看| 色综合亚洲欧美另类图片| 精品人妻熟女av久视频| 国产精品1区2区在线观看.| 国产男人的电影天堂91| 又爽又黄无遮挡网站| 伦理电影大哥的女人| 自拍偷自拍亚洲精品老妇| 亚洲一级一片aⅴ在线观看| 乱人视频在线观看| 国产真实乱freesex| 国产 一区 欧美 日韩| 精品一区二区三区人妻视频| 亚洲精品粉嫩美女一区| 亚洲人与动物交配视频| 国产在线男女| 亚洲人成网站在线播放欧美日韩| 国产熟女欧美一区二区| av在线观看视频网站免费| 国产精品免费一区二区三区在线| 亚洲七黄色美女视频| 男人的好看免费观看在线视频| 午夜激情福利司机影院| 老司机福利观看| 国产午夜精品论理片| 日本五十路高清| 亚洲自偷自拍三级| 午夜亚洲福利在线播放| 日本欧美国产在线视频| 女的被弄到高潮叫床怎么办 | 日本黄色视频三级网站网址| 夜夜爽天天搞| 18禁黄网站禁片午夜丰满| 中文在线观看免费www的网站| 亚洲国产精品合色在线| 国产午夜福利久久久久久| 久久久成人免费电影| 亚洲七黄色美女视频| aaaaa片日本免费| 精品久久久久久久久久久久久| 看免费成人av毛片| 亚洲美女黄片视频| 色吧在线观看| 欧美成人一区二区免费高清观看| 少妇人妻精品综合一区二区 | 日本黄色视频三级网站网址| 九九热线精品视视频播放| 99热这里只有精品一区| 亚洲真实伦在线观看| 亚洲最大成人手机在线| 亚洲精品一卡2卡三卡4卡5卡| 久久久久久国产a免费观看| 久久精品国产亚洲av天美| 亚洲av中文av极速乱 | 欧美+亚洲+日韩+国产| 日韩av在线大香蕉| 国产成人一区二区在线| 欧美日韩中文字幕国产精品一区二区三区| 亚洲av电影不卡..在线观看| 男女啪啪激烈高潮av片| 在线观看午夜福利视频| 内射极品少妇av片p| 亚洲熟妇熟女久久| 久久久久久久亚洲中文字幕| 亚洲欧美日韩无卡精品| 国产麻豆成人av免费视频| 又紧又爽又黄一区二区| 色播亚洲综合网| 91在线观看av| 天堂动漫精品| 校园春色视频在线观看| 神马国产精品三级电影在线观看| 国产人妻一区二区三区在| 国产精品1区2区在线观看.| 极品教师在线免费播放| 波多野结衣巨乳人妻| 久久这里只有精品中国| 欧美中文日本在线观看视频| 亚洲真实伦在线观看| 亚洲av免费高清在线观看| 黄色配什么色好看| 国产精品日韩av在线免费观看| 亚洲第一电影网av| 成人国产麻豆网| 一级黄片播放器| 一区二区三区激情视频| 久久亚洲真实| 色综合色国产| 一区二区三区四区激情视频 | 国产又黄又爽又无遮挡在线| 久久婷婷人人爽人人干人人爱| 人妻少妇偷人精品九色| www.色视频.com| aaaaa片日本免费| 色哟哟哟哟哟哟| 色精品久久人妻99蜜桃| 伦理电影大哥的女人| 俄罗斯特黄特色一大片| 少妇的逼水好多| 国产精品一及| 精品久久久久久久久久久久久| 亚洲精品日韩av片在线观看| 欧美色欧美亚洲另类二区| 亚洲中文字幕一区二区三区有码在线看| 搡老妇女老女人老熟妇| 亚洲性久久影院| 男女边吃奶边做爰视频| 啦啦啦韩国在线观看视频| 久久婷婷人人爽人人干人人爱| 99热6这里只有精品| 日本成人三级电影网站| 欧美黑人巨大hd| 内射极品少妇av片p| 长腿黑丝高跟| 在线看三级毛片| 亚洲va日本ⅴa欧美va伊人久久| 午夜福利成人在线免费观看| 成人性生交大片免费视频hd| 啦啦啦啦在线视频资源| 国产欧美日韩精品一区二区| 日韩欧美 国产精品| 国产欧美日韩精品亚洲av| 能在线免费观看的黄片| 日韩大尺度精品在线看网址| 国产乱人视频| 麻豆国产97在线/欧美| 色吧在线观看| 国产精品一区www在线观看 | 亚洲中文字幕一区二区三区有码在线看| 精品人妻视频免费看| 在线免费观看的www视频| 久9热在线精品视频| 波多野结衣巨乳人妻| 村上凉子中文字幕在线| 精品免费久久久久久久清纯| 久久精品国产亚洲av天美| 亚洲精品一区av在线观看| 中亚洲国语对白在线视频| 天堂网av新在线| 自拍偷自拍亚洲精品老妇| 国模一区二区三区四区视频| 我要搜黄色片| 88av欧美| or卡值多少钱| 中国美女看黄片| 女的被弄到高潮叫床怎么办 | 欧美激情久久久久久爽电影| 亚洲一区二区三区色噜噜| 色在线成人网| 免费人成视频x8x8入口观看| 精品国内亚洲2022精品成人| 亚洲乱码一区二区免费版| 亚洲欧美日韩卡通动漫| 中文字幕久久专区| 久久精品国产亚洲av香蕉五月| 日本撒尿小便嘘嘘汇集6| 日本成人三级电影网站| 国产精品三级大全| 亚洲av电影不卡..在线观看| 成人特级黄色片久久久久久久| 亚洲最大成人av| 日本三级黄在线观看| 成人国产一区最新在线观看| 国产精品久久久久久av不卡| 免费人成在线观看视频色| 97人妻精品一区二区三区麻豆| 最后的刺客免费高清国语| 午夜视频国产福利| 国产主播在线观看一区二区| 18禁黄网站禁片午夜丰满| 亚洲成人免费电影在线观看| 少妇的逼好多水| 国产高潮美女av| 波多野结衣高清无吗| 欧美一区二区亚洲| 色视频www国产| 中文资源天堂在线| 国产私拍福利视频在线观看| 97超级碰碰碰精品色视频在线观看| 网址你懂的国产日韩在线| 亚洲熟妇熟女久久| 一卡2卡三卡四卡精品乱码亚洲| 人妻夜夜爽99麻豆av| 男女之事视频高清在线观看| 黄色欧美视频在线观看| 日日夜夜操网爽| 免费观看在线日韩| 变态另类丝袜制服| 特大巨黑吊av在线直播| 日韩,欧美,国产一区二区三区 | 人人妻人人看人人澡| 精品人妻视频免费看| 日韩av在线大香蕉| 午夜精品一区二区三区免费看| 村上凉子中文字幕在线| 99riav亚洲国产免费| 天堂网av新在线| 午夜福利欧美成人| 国产麻豆成人av免费视频| 一级黄色大片毛片| 偷拍熟女少妇极品色| 成人美女网站在线观看视频| 3wmmmm亚洲av在线观看| 国产人妻一区二区三区在| 在线观看66精品国产| 综合色av麻豆| 最近最新中文字幕大全电影3| 久久国产乱子免费精品| 国产人妻一区二区三区在| av福利片在线观看| 最近视频中文字幕2019在线8| 又黄又爽又刺激的免费视频.| 亚洲精品日韩av片在线观看| 一本久久中文字幕| 欧美区成人在线视频| 亚洲av熟女| 久久国产精品人妻蜜桃| 黄片wwwwww| 在现免费观看毛片| 午夜福利视频1000在线观看| 俺也久久电影网| 国内精品一区二区在线观看| 国产一区二区激情短视频| 亚洲欧美激情综合另类| 精品福利观看| а√天堂www在线а√下载| 免费av观看视频| 有码 亚洲区| 亚洲欧美日韩高清在线视频| 2021天堂中文幕一二区在线观| 一夜夜www| 少妇的逼水好多| 欧美精品国产亚洲| 日本在线视频免费播放| 最好的美女福利视频网| 一区二区三区高清视频在线| 久久6这里有精品| 99精品在免费线老司机午夜| 国产免费av片在线观看野外av| 啦啦啦啦在线视频资源| 久久久久久九九精品二区国产| 一边摸一边抽搐一进一小说| 欧美激情久久久久久爽电影| 露出奶头的视频| 99热这里只有是精品50| avwww免费| 久久久国产成人精品二区| 老熟妇仑乱视频hdxx| 亚洲四区av| 波野结衣二区三区在线| 嫩草影院新地址| 国产精品亚洲美女久久久| 精品久久国产蜜桃| 久久久精品大字幕| 国产免费av片在线观看野外av| 欧美人与善性xxx| 亚洲欧美日韩无卡精品| 欧美性感艳星| 日日夜夜操网爽| 丰满的人妻完整版| 成年免费大片在线观看| 真实男女啪啪啪动态图| 成人特级av手机在线观看| 亚洲精华国产精华液的使用体验 | 一a级毛片在线观看| av黄色大香蕉| 国产一区二区在线av高清观看| 国产亚洲精品综合一区在线观看| 女人十人毛片免费观看3o分钟| 在线a可以看的网站| 好男人在线观看高清免费视频| 国产三级中文精品| 人妻久久中文字幕网| 久久精品国产亚洲av香蕉五月| 精品久久久久久久久久免费视频| 欧美日韩中文字幕国产精品一区二区三区| 不卡视频在线观看欧美| 高清毛片免费观看视频网站| 又粗又爽又猛毛片免费看| 久久精品国产99精品国产亚洲性色| 久久亚洲精品不卡| 国产又黄又爽又无遮挡在线| 久久99热这里只有精品18| 日韩 亚洲 欧美在线| 久久精品国产亚洲网站| 欧美日韩国产亚洲二区| 国内揄拍国产精品人妻在线| 精品人妻熟女av久视频| 欧美区成人在线视频| 午夜福利在线观看吧| 欧美人与善性xxx| 日韩强制内射视频| 在线国产一区二区在线| 精品乱码久久久久久99久播| 在线播放国产精品三级| 自拍偷自拍亚洲精品老妇| 国产精品一区www在线观看 | 99在线人妻在线中文字幕| 亚洲美女搞黄在线观看 | 搡女人真爽免费视频火全软件 | 成年人黄色毛片网站| 国产三级中文精品| 亚洲成人久久爱视频| 国产一级毛片七仙女欲春2| av国产免费在线观看| 日本爱情动作片www.在线观看 | 级片在线观看| 日韩精品青青久久久久久| 久久久久九九精品影院| 国产毛片a区久久久久| 在线观看美女被高潮喷水网站| 看片在线看免费视频| 天堂动漫精品| 中文在线观看免费www的网站| 色噜噜av男人的天堂激情| 成人二区视频| 国产主播在线观看一区二区| 成人一区二区视频在线观看| 欧美成人性av电影在线观看| 亚洲一区二区三区色噜噜| 久久99热6这里只有精品| 日本 av在线| 亚洲av成人精品一区久久| 乱人视频在线观看| 国产老妇女一区| 午夜激情福利司机影院| 国内揄拍国产精品人妻在线| 亚洲第一电影网av| 国产精品,欧美在线| 欧美最黄视频在线播放免费| 免费观看人在逋| 在线天堂最新版资源| 在线看三级毛片| 国产精品久久久久久精品电影| 精品久久久久久久人妻蜜臀av| 亚洲国产精品成人综合色| 99久久久亚洲精品蜜臀av| 国产精品久久久久久久久免| 美女高潮喷水抽搐中文字幕| 熟妇人妻久久中文字幕3abv| 国内精品宾馆在线| 亚洲欧美日韩无卡精品| 亚洲在线自拍视频| 国产黄色小视频在线观看| 一区二区三区激情视频| 性欧美人与动物交配| 久久久久久久久久黄片| 尾随美女入室| 国产亚洲av嫩草精品影院| 国产午夜精品久久久久久一区二区三区 | 男女边吃奶边做爰视频| 老熟妇乱子伦视频在线观看| 国产美女午夜福利| 婷婷六月久久综合丁香| 免费av观看视频| 久久久久国内视频| 欧美日本亚洲视频在线播放| 男女那种视频在线观看| 精品免费久久久久久久清纯| 两个人的视频大全免费| 极品教师在线视频| 五月玫瑰六月丁香| 国内精品一区二区在线观看| 久99久视频精品免费| 3wmmmm亚洲av在线观看| av专区在线播放| 亚洲aⅴ乱码一区二区在线播放| 成人毛片a级毛片在线播放| 中出人妻视频一区二区| 国产黄a三级三级三级人| 成年版毛片免费区| 亚洲人成伊人成综合网2020| 色吧在线观看| 日韩国内少妇激情av| 麻豆成人午夜福利视频| 日本 av在线| 色综合婷婷激情| 18禁裸乳无遮挡免费网站照片| 午夜福利在线在线| av黄色大香蕉| 少妇裸体淫交视频免费看高清| 亚洲一区二区三区色噜噜| 亚洲av不卡在线观看| 久久久久久国产a免费观看| av天堂中文字幕网| 亚洲欧美激情综合另类| 88av欧美| 国产精品一区二区三区四区免费观看 | 日本撒尿小便嘘嘘汇集6| 国产精品免费一区二区三区在线| 搞女人的毛片| 午夜爱爱视频在线播放| 男女做爰动态图高潮gif福利片| 在线播放无遮挡| 国产精华一区二区三区| 精品久久久久久久久亚洲 | 欧美成人性av电影在线观看| 久久热精品热| 一本精品99久久精品77| 男女之事视频高清在线观看| 国内少妇人妻偷人精品xxx网站| 高清在线国产一区| 99九九线精品视频在线观看视频| 永久网站在线| 国产高清激情床上av| 在线国产一区二区在线| 免费观看的影片在线观看| 久久国产乱子免费精品| 国产激情偷乱视频一区二区| 午夜老司机福利剧场| 国产一区二区三区av在线 | 一本精品99久久精品77| 校园人妻丝袜中文字幕| 日韩欧美 国产精品| 在线播放国产精品三级| 日本免费a在线| 22中文网久久字幕| 中文在线观看免费www的网站| 日本爱情动作片www.在线观看 | 国产精品自产拍在线观看55亚洲| 伦理电影大哥的女人| 成年人黄色毛片网站| 日韩精品青青久久久久久| 国产精品久久久久久久久免| 丰满的人妻完整版| 99久久精品一区二区三区| 一夜夜www| 欧美三级亚洲精品| 国产日本99.免费观看| www日本黄色视频网| 十八禁国产超污无遮挡网站| 久久精品综合一区二区三区| 成人高潮视频无遮挡免费网站| 免费观看的影片在线观看| avwww免费|