YANG Chong, ZHANG Fan, WANG Jian, HUANG Xianfeng, GAO Yunlong. Extraction and Reconstruction of Zebra Crossings from High Resolution Aerial Images[J]. Geomatics and Information Science of Wuhan University, 2017, 42(10): 1358-1364, 1380. DOI: 10.13203/j.whugis20160055
Citation: YANG Chong, ZHANG Fan, WANG Jian, HUANG Xianfeng, GAO Yunlong. Extraction and Reconstruction of Zebra Crossings from High Resolution Aerial Images[J]. Geomatics and Information Science of Wuhan University, 2017, 42(10): 1358-1364, 1380. DOI: 10.13203/j.whugis20160055

Extraction and Reconstruction of Zebra Crossings from High Resolution Aerial Images

Funds: 

The National Key Technology Support Program of China 2014BAK07B04

the National Natural Science Foundation of China 41571437

the Technology Program of Zhejiang Province 2015C33075

More Information
  • Author Bio:

    YANG Chong, PhD candidate, specializes in the methods of handling of UAV datas. E-mail:yangchong609@yeah.net

  • Corresponding author:

    ZHANG Fan,PhD, associate professor. E-mail:zhangfan@whu.edu.cn

  • Received Date: December 12, 2016
  • Published Date: October 04, 2017
  • Zebra Crossings have played an important role in public traffic safety, so the reconstruction of zebra crossings is very helpful for reducing the occurrence of traffic accidents. An automatic approach using high-resolution aerial images for zebra crossing extraction and reconstruction is proposed in this paper. In the approach, zebra crossings are extracted by JointBoost classifier based on GLCM (Gray Level Co-occurrence Matrix) features and 2D Gabor Features. A geometric parameter model based on spatial repeatability relationships is globally fitted to reconstruct the geometric shapes of zebra crossings. Representative experiments under interfered conditions such as zebra crossings covered by pedestrians, shadows and color fading were conducted to verify the validity of the proposed method in both the extraction and reconstruction of zebra crossings.
  • [1]
    Thomas G, Donikian S. Virtual Humans Animation in Informed Urban Environments[C]. IEEE Computer Animation Conference, Philadelphia, USA, 2000
    [2]
    Narzt W, Pomberger G, Ferscha A, et al. Augmented Reality Navigation Systems[J]. Universal Access in the Information Society, 2006, 4(3):177-187 doi: 10.1007/s10209-005-0017-5
    [3]
    Rebut J, Bensrhair A, Toulminet G. Image Segmentation and Pattern Recognition for Road Marking Analysis[C]. IEEE International Symposium on Industrial Electronics, Ajaccio, France, 2004
    [4]
    Sichelschmidt S, Haselhoff A, Kummert A, et al. Pedestrian Crossing Detecting as A Part of An Urban Pedestrian Safety System[C]. IEEE Intelligent Vehicles Symposium (IV), Univ Calif, San Diego, 2010
    [5]
    Feng Q, Liu J, Gong J. UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis[J]. Remote Sensing, 2015, 7(1):1074-1094 doi: 10.3390/rs70101074
    [6]
    Leitloff J, Rosenbaum D, Kurz F, et al. An Operational System for Estimating Road Traffic Information from Aerial Images[J]. Remote Sensing, 2014, 6(11):11315-11341 doi: 10.3390/rs61111315
    [7]
    Qin R. An Object-Based Hierarchical Method for Change Detection Using Unmanned Aerial Vehicle Images[J]. Remote Sensing, 2014, 6(9):7911-7932 doi: 10.3390/rs6097911
    [8]
    Jin H, Feng Y. Automated Road Pavement Marking Detection from High Resolution Aerial Images Based on Multi-Resolution Image Analysis and Anisotropic Gaussian Filtering[C]. The 2nd International Conference on Signal Processing Systems, Dalian, China, 2010
    [9]
    Kim T, Park S R, Kim M G, et al. Tracking Road Centerlines from High Resolution Remote Sensing Images by Least Squares Correlation Matching[J]. Photogrammetric Engineering and Remote Sensing, 2004, 70(12): 1417-1422 doi: 10.14358/PERS.70.12.1417
    [10]
    Lausser L, G. Schwenker F, Palm G. Detecting Zebra Crossings Utilizing AdaBoost[C]. Advances in Computational Intelligence and Learning Bruges, Belgium, 2008
    [11]
    Torralba A, Murphy K P, Freeman W T. Sharing Visual Features for Multiclass and Multiview Object Detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(5):854-869 doi: 10.1109/TPAMI.2007.1055
    [12]
    Veit T, Tarel J P, Nicolle P, et al. Evaluation of Road Marking Feature Extraction[C]. The 11th IEEE International Conference on Intelligent Transportation Systems, Beijing, China, 2008
    [13]
    Lafarge F, Descombes X, Zerubia J, et al. Structural Approach for Building Reconstruction from a Single DSM[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(1):135-147 doi: 10.1109/TPAMI.2008.281
    [14]
    Jin H, Feng Y, Li M. Towards an Automatic System for Road Lane Marking Extraction in Large-Scale Aerial Images Acquired over Rural Areas by Hierarchical Image Analysis and Gabor Filter[J]. International Journal of Remote Sensing, 2012, 33(9):2747-2769 doi: 10.1080/01431161.2011.620031
    [15]
    Lowe D G. Distinctive Image Features from Scale-Invariant Keypoints[J]. International Journal of Computer Vision, 2004, 60(2):91-110 doi: 10.1023/B:VISI.0000029664.99615.94
    [16]
    Daugman J G. Uncertainty Relation for Resolution in Space, Spatial Frequency, and Orientation Optimized by Two-Dimensional Visual Cortical Filters[J]. Journal of the Optical Society of America, 1985, 2(7):1160-1169 doi: 10.1364/JOSAA.2.001160
    [17]
    HamamotoY, Uchimura S, Masamizu K, et al. Recognition of Handprinted Chinese Characters Using Gabor Features[J]. IEEE Transactions on Document Analysis & Recognition, 1995, 2:819-823
    [18]
    张刚, 马宗民.一种采用Gabor小波的纹理特征提取方法[J].中国图象图形学报, 2010, 15(2):247-254 doi: 10.11834/jig.20100210

    Zhang Gang, Ma Zongmin. An Approach of Using Gabor Wavelets for Texture Feature Extraction[J]. Journal of Image and Graphics, 2010, 15(2):247-254 doi: 10.11834/jig.20100210
    [19]
    Otsu N. A Threshold Selection Method from Gray-Level Histograms[J]. IEEE Transactions on Systems, Man and Cybernetics, 1979, 9(1):62-66 doi: 10.1109/TSMC.1979.4310076
    [20]
    杨俊, 赵忠明, 杨健.一种高分辨率遥感影像阴影去除方法[J].武汉大学学报·信息科学版, 2008, 33(1):17-20 http://ch.whu.edu.cn/CN/abstract/abstract1488.shtml

    Yang Jun, Zhao Zhongming, Yang Jian. A Shadow Removal Method for High Resolution Remote Sensing Image[J]. Geomatics and Information Science of Wuhan University, 2008, 33(1):17-20 http://ch.whu.edu.cn/CN/abstract/abstract1488.shtml
    [21]
    林宗坚, 任超峰, 姚娜等.一种航空影像阴影补偿方法[J].武汉大学学报·信息科学版, 2013, 38(4):431-435 http://ch.whu.edu.cn/CN/abstract/abstract764.shtml

    Lin Zongjian, Ren Chaofei, Yao Na, et al. A Shadow Compensation Method for Aerial Image[J].Geomatics and Information Science of Wuhan University, 2013, 38(4):431-435 http://ch.whu.edu.cn/CN/abstract/abstract764.shtml
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