Segmentation of occluded sidewalks in satellite images

Turgay Senlet, Ahmed Elgammal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Accurate segmentation of sidewalks from satellite images can be required in various applications, for example giving walking directions to pedestrians and robot navigation. We propose a framework to construct sidewalk and crosswalk maps from satellite images. This is a challenging task, since typically sidewalks in satellite images are highly occluded by trees and their shadows and also there can be several objects on maps that have similar appearance with sidewalks. In our framework, we initially segment visible sidewalks by their appearance and then complete the tree-occluded areas by posing the problem as an image-inpainting task with multiple priors, which fuses the knowledge about roads, occluders and sidewalk structures. We present successful sidewalk segmentation results from satellite images, where sidewalks are highly occluded by trees.

Original languageEnglish (US)
Title of host publicationICPR 2012 - 21st International Conference on Pattern Recognition
Pages805-808
Number of pages4
StatePublished - 2012
Event21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
Duration: Nov 11 2012Nov 15 2012

Publication series

NameProceedings - International Conference on Pattern Recognition

Other

Other21st International Conference on Pattern Recognition, ICPR 2012
Country/TerritoryJapan
CityTsukuba
Period11/11/1211/15/12

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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