Optimal view selection and event retrieval in multi-camera office environment

Han Saem Park, Soojung Lim, Jun Ki Min, Sung Bae Cho

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

1 Citation (Scopus)

Abstract

Recently, diverse sensor technologies have been advanced dramatically, so that people can use those sensors in many areas. Camera to capture the video data is one of the most useful sensors among them, and the use of camera with other sensors or the use of several cameras has been done to obtain more information. This paper deals with the multi-camera system, which uses the several cameras as sensors. Previous multi-camera systems have been used to track a moving object in a wide area. In this paper, we have set cameras to focus on the same place in an office so that system can provide diverse views on a single event. We have modeled office events, and modeled events can be recognized from annotated features. Finally, we have conducted the event recognition, view selection and event retrieval experiments based on a scenario in an office to show the usefulness of the proposed system.

Original languageEnglish
Title of host publicationMultisensor Fusion and Integration for Intelligent Systems
Subtitle of host publicationAn Edition of the Selected Papers from the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems 2008
Pages45-53
Number of pages9
DOIs
Publication statusPublished - 2009
Event7th IEEE International Conference on Multi-Sensor Integration and Fusion, IEEE MFI 2008 - Seoul, Korea, Republic of
Duration: 2008 Aug 202008 Aug 22

Publication series

NameLecture Notes in Electrical Engineering
Volume35 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other7th IEEE International Conference on Multi-Sensor Integration and Fusion, IEEE MFI 2008
CountryKorea, Republic of
CitySeoul
Period08/8/2008/8/22

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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