Title
Automated Visual Surveillance In Realistic Scenarios
Keywords
Activity recognition; Automated surveillance; Classification; Multicamera tracking; Object detection; Tracking; Wide-area surveillance systems
Abstract
In this article, we present Knight, an automated surveillance system deployed in a variety of real-world scenarios ranging from railway security to law enforcement. We also discuss the challenges of developing surveillance systems, present some solutions implemented in Knight that overcome these challenges, and evaluate Knight's performance in unconstrained environments. © 2007 IEEE.
Publication Date
1-1-2007
Publication Title
IEEE Multimedia
Volume
14
Issue
1
Number of Pages
30-39
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/MMUL.2007.3
Copyright Status
Unknown
Socpus ID
33847638524 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33847638524
STARS Citation
Shah, Mubarak; Javed, Omar; and Shafique, Khurram, "Automated Visual Surveillance In Realistic Scenarios" (2007). Scopus Export 2000s. 7370.
https://stars.library.ucf.edu/scopus2000/7370