Multisensor surveillance systems based on image and video data

C. Regazzoni, Pramod Kumar Varshney

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

8 Scopus citations

Abstract

In this paper, a brief state of the art in the field of advanced surveillance systems is given. The goal is to provide a framework under which to describe the different contributions to research presented in the special session on multisensor surveillance systems based on image and video data. Some problems of interest considered by current research are highlighted starting from the necessity of augmented perceptual capabilities, to the use of video object based coding techniques, going to the capability of extending current video representation techniques in order to make it possible to easily correlate, recognize, index and retrieve multisensor video observations.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Volume1
StatePublished - 2002
EventInternational Conference on Image Processing (ICIP'02) - Rochester, NY, United States
Duration: Sep 22 2002Sep 25 2002

Other

OtherInternational Conference on Image Processing (ICIP'02)
CountryUnited States
CityRochester, NY
Period9/22/029/25/02

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Regazzoni, C., & Varshney, P. K. (2002). Multisensor surveillance systems based on image and video data. In IEEE International Conference on Image Processing (Vol. 1)