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

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

Research output: Contribution to conferencePaper

10 Citations (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
Pages106-110
Number of pages5
DOIs
Publication statusPublished - 2008
Event2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI - Seoul, Korea, Republic of
Duration: 2008 Aug 202008 Aug 22

Other

Other2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI
CountryKorea, Republic of
CitySeoul
Period08/8/2008/8/22

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Optimal view selection and event retrieval in multi-camera office environment'. Together they form a unique fingerprint.

  • Cite this

    Park, H. S., Lim, S., Min, J. K., & Cho, S. B. (2008). Optimal view selection and event retrieval in multi-camera office environment. 106-110. Paper presented at 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI, Seoul, Korea, Republic of. https://doi.org/10.1109/MFI.2008.4648117