DocumentCode :
3052667
Title :
Optimal view selection and event retrieval in multi-camera office environment
Author :
Park, Han-Saem ; Lim, Soojung ; Min, Jun-Ki ; Cho, Sung-Bae
Author_Institution :
Dept. of Comput. Sci., Yonsei Univ., Seoul
fYear :
2008
fDate :
20-22 Aug. 2008
Firstpage :
106
Lastpage :
110
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.
Keywords :
image motion analysis; object recognition; video retrieval; event recognition; event retrieval; moving object tracking; multicamera office environment; multicamera systems; optimal view selection; video data; Acoustic sensors; Bayesian methods; Cameras; Image analysis; Information analysis; Information retrieval; Intelligent sensors; Multimedia systems; Sensor fusion; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 2008. MFI 2008. IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-2143-5
Electronic_ISBN :
978-1-4244-2144-2
Type :
conf
DOI :
10.1109/MFI.2008.4648117
Filename :
4648117
Link To Document :
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