TY - GEN
T1 - Egocentric view transition for video monitoring in a distributed camera network
AU - Chen, Kuan Wen
AU - Lee, Pei Jyun
AU - Hung, Yi Ping
N1 - Funding Information:
This work was supported in part by the Ministry of Economic Affairs, Taiwan, under Grant 99-EC-17-A-02-S1-032, and the Excellent Research Projects of National Taiwan University, under grants 99R80303.
PY - 2011
Y1 - 2011
N2 - Current visual surveillance system usually includes multiple cameras to monitor the activities of targets over a large area. An important issue for the guard or user using the system is to understand a series of events occurring in the environment, for example to track a target walking across multiple cameras. Opposite to the traditional systems switching the camera view from one to another directly, we propose a novel approach to egocentric view transition, which synthesizes the virtual views during the period of switching cameras, to ease the mental effort for users to understand the events. An important property of our system is that it can be applied to the situations of where the view fields of transition cameras are not close enough or even exclusive. Such situations have never been taken into consideration in the state-of-the-art view transition techniques, to our best knowledge.
AB - Current visual surveillance system usually includes multiple cameras to monitor the activities of targets over a large area. An important issue for the guard or user using the system is to understand a series of events occurring in the environment, for example to track a target walking across multiple cameras. Opposite to the traditional systems switching the camera view from one to another directly, we propose a novel approach to egocentric view transition, which synthesizes the virtual views during the period of switching cameras, to ease the mental effort for users to understand the events. An important property of our system is that it can be applied to the situations of where the view fields of transition cameras are not close enough or even exclusive. Such situations have never been taken into consideration in the state-of-the-art view transition techniques, to our best knowledge.
UR - http://www.scopus.com/inward/record.url?scp=78751666664&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-17832-0_17
DO - 10.1007/978-3-642-17832-0_17
M3 - Conference contribution
AN - SCOPUS:78751666664
SN - 3642178316
SN - 9783642178313
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 171
EP - 181
BT - Advances in Multimedia Modeling - 17th International Multimedia Modeling Conference, MMM 2011, Proceedings
T2 - 17th Multimedia Modeling Conference, MMM 2011
Y2 - 5 January 2011 through 7 January 2011
ER -