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

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

doi:10.1109/MFI.2008.4648117

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

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

College of Computing

Research output: Contribution to conference › Paper › peer-review

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 language	English
Pages	106-110
Number of pages	5
DOIs	https://doi.org/10.1109/MFI.2008.4648117
Publication status	Published - 2008
Event	2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI - Seoul, Korea, Republic of Duration: 2008 Aug 20 → 2008 Aug 22

Other

Other	2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI
Country/Territory	Korea, Republic of
City	Seoul
Period	08/8/20 → 08/8/22

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Software
Computer Science Applications

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10.1109/MFI.2008.4648117

Cite this

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title = "Optimal view selection and event retrieval in multi-camera office environment",

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.",

author = "Park, {Han Saem} and Soojung Lim and Min, {Jun Ki} and Cho, {Sung Bae}",

year = "2008",

doi = "10.1109/MFI.2008.4648117",

language = "English",

pages = "106--110",

note = "2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI ; Conference date: 20-08-2008 Through 22-08-2008",

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AU - Park, Han Saem

AU - Lim, Soojung

AU - Min, Jun Ki

AU - Cho, Sung Bae

PY - 2008

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AB - 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.

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ER -

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

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