TY - GEN
T1 - Optimal view selection and event retrieval in multi-camera office environment
AU - Park, Han Saem
AU - Lim, Soojung
AU - Min, Jun Ki
AU - Cho, Sung Bae
PY - 2009
Y1 - 2009
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=78651539128&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78651539128&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-89859-7_4
DO - 10.1007/978-3-540-89859-7_4
M3 - Conference contribution
AN - SCOPUS:78651539128
SN - 9783540898580
T3 - Lecture Notes in Electrical Engineering
SP - 45
EP - 53
BT - Multisensor Fusion and Integration for Intelligent Systems
T2 - 7th IEEE International Conference on Multi-Sensor Integration and Fusion, IEEE MFI 2008
Y2 - 20 August 2008 through 22 August 2008
ER -