View reconstruction from images by removing vehicles

Li Chen, Lu Jin, Jing Dai, Jianhua Xuan

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

Abstract

Reconstructing views of real-world from satellite images, surveillance videos, or street view images is now a very popular problem, due to the broad usage of image data in Geographic Information Systems and Intelligent Transportation Systems. In this paper, we propose an approach that tries to replace the differences among images that are likely to be vehicles by the counterparts that are likely to be background. This method integrates the techniques for lane detection, vehicle detection, image subtraction and weighted voting, to regenerate the "vehicle-clean" images. The proposed approach can efficiently reveal the geographic background and preserve the privacy of vehicle owners. Experiments on surveillance images from TrafficLand.com and satellite view images have been conducted to demonstrate the effectiveness of the approach.

Original languageEnglish (US)
Title of host publicationProc. of the 1st ACM SIGSPATIAL Int. Workshop on Data Mining for Geoinformatics, DMG 2010, offered under the auspices of the 18th Int. Conference on Advances in Geographic Information Systems, ACMGIS
Pages45-52
Number of pages8
DOIs
StatePublished - Dec 1 2010
Event1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics, DMG 2010, offered under the auspices of the 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS'10 - San Jose, CA, United States
Duration: Nov 2 2010Nov 2 2010

Publication series

NameProc. of the 1st ACM SIGSPATIAL Int. Workshop on Data Mining for Geoinformatics, DMG 2010, offered under the auspices of the 18th Int. Conference on Advances in Geographic Information Systems, ACMGIS

Other

Other1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics, DMG 2010, offered under the auspices of the 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS'10
CountryUnited States
CitySan Jose, CA
Period11/2/1011/2/10

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Keywords

  • Gabor wavelet filtering
  • vehicle detection
  • view reconstruction

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Geography, Planning and Development

Cite this

Chen, L., Jin, L., Dai, J., & Xuan, J. (2010). View reconstruction from images by removing vehicles. In Proc. of the 1st ACM SIGSPATIAL Int. Workshop on Data Mining for Geoinformatics, DMG 2010, offered under the auspices of the 18th Int. Conference on Advances in Geographic Information Systems, ACMGIS (pp. 45-52). (Proc. of the 1st ACM SIGSPATIAL Int. Workshop on Data Mining for Geoinformatics, DMG 2010, offered under the auspices of the 18th Int. Conference on Advances in Geographic Information Systems, ACMGIS). https://doi.org/10.1145/1869890.1869896