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ISPRS Int. J. Geo-Inf. 2016, 5(8), 127; doi:10.3390/ijgi5080127

Extraction and Reconstruction of Zebra Crossings from High Resolution Aerial Images

1
Chinese Academy of Surveying and Mapping, Beijing 100000, China
2
Beijing Key Lab of Spatial Information Integration and Its Applications, Peking University, Beijing 100871, China
3
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 16 February 2016 / Revised: 5 July 2016 / Accepted: 11 July 2016 / Published: 23 July 2016

Abstract

In this paper, an automatic approach for zebra crossing extraction and reconstruction from high-resolution aerial images is proposed. In the extraction procedure, zebra crossings are extracted by the JointBoost classifier based on GLCM (Gray Level Co-occurrence Matrix) features and 2D Gabor Features. In the reconstruction procedure, a geometric parameter model based on spatial repeatability relationships is globally fitted to reconstruct the geometric shape of zebra crossings. Additionally, a group of representative experiments is conducted to test the proposed method under interfered conditions, such as zebra crossings covered by pedestrians, shadows and color fading. Furthermore, the performance of the proposed extraction method is compared with the template matching method. Finally, the results show the validation of our proposed method, both in the extraction and reconstruction of zebra crossings. View Full-Text
Keywords: zebra crossing; GLCM feature; Gabor filter; JointBoost classifier; parameterized model; geometric repeatability; reconstruction zebra crossing; GLCM feature; Gabor filter; JointBoost classifier; parameterized model; geometric repeatability; reconstruction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Sun, Y.; Zhang, F.; Gao, Y.; Huang, X. Extraction and Reconstruction of Zebra Crossings from High Resolution Aerial Images. ISPRS Int. J. Geo-Inf. 2016, 5, 127.

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