Title

An informatics-based approach to object tracking for distributed live video computing

Authors

Authors

A. J. Aved;K. A. Hua

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Multimed. Tools Appl.

Keywords

Distributed computing; Network; Streaming video; Stream processing; Query evaluation; Tracking; PATTERN-RECOGNITION; ASSIGNMENT; RETRIEVAL; PRIVACY; IMAGES; SYSTEM; Computer Science, Information Systems; Computer Science, Software; Engineering; Computer Science, Theory & Methods; Engineering, Electrical; & Electronic

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.

Journal Title

Multimedia Tools and Applications

Volume

68

Issue/Number

1

Publication Date

1-1-2014

Document Type

Article

Language

English

First Page

111

Last Page

133

WOS Identifier

WOS:000329243600008

ISSN

1380-7501

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