Accessibility navigation


Tracking performance evaluation on PETS 2015 Challenge datasets

Nawaz, T., Boyle, J., Li, L. and Ferryman, J. (2015) Tracking performance evaluation on PETS 2015 Challenge datasets. In: 12th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS2015), 25-28 August, 2015, Karlsruhe, Germany, pp. 1-6.

[img]
Preview
Text - Accepted Version
· Please see our End User Agreement before downloading.

371kB

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

Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?...

Abstract/Summary

This paper presents a quantitative evaluation of a tracking system on PETS 2015 Challenge datasets using well-established performance measures. Using the existing tools, the tracking system implements an end-to-end pipeline that include object detection, tracking and post- processing stages. The evaluation results are presented on the provided sequences of both ARENA and P5 datasets of PETS 2015 Challenge. The results show an encouraging performance of the tracker in terms of accuracy but a greater tendency of being prone to cardinality error and ID changes on both datasets. Moreover, the analysis show a better performance of the tracker on visible imagery than on thermal imagery.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:46541

Downloads

Downloads per month over past year

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

Page navigation