Title

An Informatics-Based Approach To Object Tracking For Distributed Live Video Computing

Keywords

Distributed computing; Network; Query evaluation; Stream processing; Streaming video; Tracking

Abstract

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.

Publication Date

1-1-2014

Publication Title

Multimedia Tools and Applications

Volume

68

Issue

1

Number of Pages

111-133

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/s11042-012-1204-z

Socpus ID

84891840038 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84891840038

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