Title
An Informatics-Based Approach To Object Tracking For Distributed Live Video Computing
Keywords
Camera; Distributed Computing; Network; Query Evaluation; Tracking
Abstract
Omnipresent camera networks have been a popular research topic in recent years. Example applications include surveillance and monitoring of inaccessible areas such as train tunnels and bridges. 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 paper, we present our work on extending the LVDBMS prototype with a multifaceted object model to better characterize objects in live video streams. This forms the basis for a cross camera tracking framework based on the informatics-based approach which permits objects to be tracked from one video stream to another. Queries may be defined that monitor the streams in real time for complex events. Such a new database management environment provides a general-purpose platform for distributed live video computing. © 2011 Springer-Verlag.
Publication Date
6-8-2011
Publication Title
Communications in Computer and Information Science
Volume
149 CCIS
Number of Pages
120-128
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-642-21512-4_14
Copyright Status
Unknown
Socpus ID
79957961855 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/79957961855
STARS Citation
Aved, Alexander J.; Hua, Kien A.; and Gurappa, Varalakshmi, "An Informatics-Based Approach To Object Tracking For Distributed Live Video Computing" (2011). Scopus Export 2010-2014. 2473.
https://stars.library.ucf.edu/scopus2010/2473