Accessibility navigation


Performance analysis and formative assessment of visual trackers using PETS critical infrastructure surveillance datasets

Li, L., Nawaz, T. and Ferryman, J. (2019) Performance analysis and formative assessment of visual trackers using PETS critical infrastructure surveillance datasets. Journal of Electronic Imaging, 28 (04). 043004. ISSN 1560-229X

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1117/1.jei.28.4.043004

Abstract/Summary

Surveillance of perimeter of critical infrastructures (CIs) has gained a particular attention worldwide due to rising threats of terrorist incidents. However, the generation and dissemination of real-world, challenging datasets concerning CIs for performance assessment of surveillance tasks, particularly tracking, have widely been overlooked in the community. Recent performance evaluation of tracking and surveillance (PETS) workshops have sought to address this issue by introducing ample CI surveillance datasets. We demonstrate the effectiveness of these publicly released real-world PETS CI visual datasets by providing a comprehensive statistically significant performance analysis as well as formative assessment of several state-of-the-art multitarget trackers using well-known and recent performance assessment criteria.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:85168
Uncontrolled Keywords:Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Science Applications
Publisher:Society of Photo-optical Instrumentation Engineers

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation