An Informatics-Based Approach To Object Tracking For Distributed Live Video Computing
Distributed computing; Network; Query evaluation; Stream processing; Streaming video; Tracking
Omnipresent camera networks have been a popular research topic in recent years. They are applicable to a range of monitoring tasks, from bridges to gas stations to the inside of industrial chemical tanks. Though a large body of existing work focuses on image and video processing techniques, very few address the usability of such systems or the implications of real-time video dissemination. In this article, we present our work on extending the LVDBMS prototype with a multifaceted object model to characterize objects in live video streams. This forms the basis for a cross-camera tracking framework which permits objects to be tracked from one video stream to another. With this infrastructure, real-time queries may be posed to monitor complex events that occur in multiple video streams simultaneously. This live video database environment provides a general-purpose platform for distributed live video computing with the goal of enabling rapid application development for camera networks. © 2012 Springer Science+Business Media, LLC.
Multimedia Tools and Applications
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Aved, Alexander J. and Hua, Kien A., "An Informatics-Based Approach To Object Tracking For Distributed Live Video Computing" (2014). Scopus Export 2010-2014. 9641.