Egocentric view transition for video monitoring in a distributed camera network

Kuan-Wen Chen, Pei Jyun Lee, Yi Ping Hung*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


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.

Original languageEnglish
Title of host publicationAdvances in Multimedia Modeling - 17th International Multimedia Modeling Conference, MMM 2011, Proceedings
Number of pages11
EditionPART 1
StatePublished - 26 Jan 2011
Event17th Multimedia Modeling Conference, MMM 2011 - Taipei, Taiwan
Duration: 5 Jan 20117 Jan 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6523 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th Multimedia Modeling Conference, MMM 2011

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