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

    Authors

    A. J. Aved;K. A. Hua

    Comments

    Authors: contact us about adding a copy of your work at [email protected]

    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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