Omni-directional camera networks and data fusion for vehicle tracking in an indoor parking lot

Jung Ming Wang, Ching Ting Tsai, Shen Cherng, Sei-Wang Chen

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

4 Citations (Scopus)

Abstract

A fixed single camera is not sufficient for monitoring a wide area. More cameras can be used, but a problem with integrating all of them will arise. In this paper, a monitoring system to detect and track moving objects in an indoor environment using multiple omni-directional cameras is proposed. Objects captured from different cameras can be integrated automatically, and we can add more cameras to enlarge the monitoring range without changing the system architecture. Such a system is currently being applied to a model of a parking lot for detecting the paths of vehicles.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
DOIs
Publication statusPublished - 2006 Dec 1
EventIEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006 - Sydney, NSW, Australia
Duration: 2006 Nov 222006 Nov 24

Publication series

NameProceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006

Other

OtherIEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
CountryAustralia
CitySydney, NSW
Period06/11/2206/11/24

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Keywords

  • Homography matrix
  • Hyperbolic mirror
  • Object tracking
  • Omni-directional camera
  • Permutation matrix
  • Surveillance system

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Wang, J. M., Tsai, C. T., Cherng, S., & Chen, S-W. (2006). Omni-directional camera networks and data fusion for vehicle tracking in an indoor parking lot. In Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006 [4020704] (Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006). https://doi.org/10.1109/AVSS.2006.84