Multi-camera vehicle identification in tunnel surveillance system

Hua Tsung Chen, Ming Chu Chu, Chien Li Chou, Suh Yin Lee, Bao-Shuh Lin 

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Tunnel traffic security has received increasing attention since accidents in tunnels may cause serious casualties. Surveillance cameras are widely equipped in tunnels for traffic condition monitoring and safety maintenance. Vehicle identification among multiple cameras is an essential component in tunnel surveillance systems. In this paper, we propose a Spatiotemporal Successive Dynamic Programming (S2DP) algorithm for identifying vehicles between pairs of cameras. Taking color information into consideration, we extract features based on Harris corner detection with OpponentSIFT descriptors. 'Tracking-by-identification' for vehicles across multiple cameras can thus be achieved. Extensive experiments on real tunnel video data show that the proposed S2DP algorithm outperforms state-of-the-art methods.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479970797
DOIs
StatePublished - 28 Jul 2015
Event2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015 - Turin, Italy
Duration: 29 Jun 20153 Jul 2015

Publication series

Name2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015

Conference

Conference2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015
CountryItaly
CityTurin
Period29/06/153/07/15

Keywords

  • Intelligent transportation system
  • multi-camera tracking
  • tunnel surveillance
  • Vehicle identification
  • video surveillance

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