Automatic camera selection and fusion for outdoor surveillance under changing weather conditions

L. Snidaro, R. Niu, Pramod Kumar Varshney, G. L. Foresti

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

26 Scopus citations

Abstract

An outdoor multi-camera video surveillance system operating under changing weather conditions is presented. A new confidence measure, appearance ratio (AR), is defined to evaluate automatically the sensors' performance for each time instant. By comparing their ARs, the system can select the most appropriate cameras to perform specific tasks. When redundant measurements are available for a target, the AR measures are used to perform a weighted fusion of them. Experimental results are presented on outdoor scenes under different weather conditions.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages364-369
Number of pages6
ISBN (Print)0769519717, 9780769519715
DOIs
StatePublished - 2003
EventIEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003 - Miami, United States
Duration: Jul 21 2003Jul 22 2003

Other

OtherIEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003
CountryUnited States
CityMiami
Period7/21/037/22/03

Keywords

  • Acceleration
  • Cameras
  • Filtering
  • Layout
  • Mathematics
  • Sensor phenomena and characterization
  • Sensor systems
  • Target tracking
  • Video surveillance
  • Videoconference

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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