ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 251-258, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-251-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
13 Sep 2017
AUTOMATIC PEDESTRIAN CROSSING DETECTION AND IMPAIRMENT ANALYSIS BASED ON MOBILE MAPPING SYSTEM
X. Liu1, Y. Zhang1, and Q. Li2 1School of Remote Sensing and Information Engineering, Wuhan University, Hubei, China
2Wuhan Zhongyuan Electronics Group Co., Ltd., Hubei, China
Keywords: Pedestrian Crossing, Feature Extraction, Impairment Analysis, Support Vector Machine, Mobile Mapping System Abstract. Pedestrian crossing, as an important part of transportation infrastructures, serves to secure pedestrians’ lives and possessions and keep traffic flow in order. As a prominent feature in the street scene, detection of pedestrian crossing contributes to 3D road marking reconstruction and diminishing the adverse impact of outliers in 3D street scene reconstruction. Since pedestrian crossing is subject to wearing and tearing from heavy traffic flow, it is of great imperative to monitor its status quo. On this account, an approach of automatic pedestrian crossing detection using images from vehicle-based Mobile Mapping System is put forward and its defilement and impairment are analyzed in this paper. Firstly, pedestrian crossing classifier is trained with low recall rate. Then initial detections are refined by utilizing projection filtering, contour information analysis, and monocular vision. Finally, a pedestrian crossing detection and analysis system with high recall rate, precision and robustness will be achieved. This system works for pedestrian crossing detection under different situations and light conditions. It can recognize defiled and impaired crossings automatically in the meanwhile, which facilitates monitoring and maintenance of traffic facilities, so as to reduce potential traffic safety problems and secure lives and property.
Conference paper (PDF, 1382 KB)


Citation: Liu, X., Zhang, Y., and Li, Q.: AUTOMATIC PEDESTRIAN CROSSING DETECTION AND IMPAIRMENT ANALYSIS BASED ON MOBILE MAPPING SYSTEM, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 251-258, https://doi.org/10.5194/isprs-annals-IV-2-W4-251-2017, 2017.

BibTeX EndNote Reference Manager XML