Computer vision and pattern recognition in homeland security applications

0Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The tutorial will summarize the status of research and innovation in the field of Security of Computer Vision and Pattern Recognition Technology. Two main research areas are considered: intelligent scene analysis in videosurveillance, and mobile Automatic Number Plate recognition ANPR, for investigation and crime prevention. The lecture will refer the most recent advances of mobile ANPR solutions on board of patrol car as well as portable hand-held devices to improve mobility and flexibility. From the patrol car it is possible to collect vehicle information within the traffic flow with a performance that far exceeds human detection and recognition capabilities in all weather conditions and 24 h operation. Such a solution is currently used by most advanced police departments in the world. © Springer-Verlag Berlin Heidelberg 2007.

Cite

CITATION STYLE

APA

Garibotto, G. B. (2007). Computer vision and pattern recognition in homeland security applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4578 LNAI, pp. 335–341). Springer Verlag. https://doi.org/10.1007/978-3-540-73400-0_42

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free