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Dynamic Performance Measures for Object Tracking Systems

Denman, Simon, Fookes, Clinton B., Sridharan, Sridha, & Lakemond, Ruan (2009) Dynamic Performance Measures for Object Tracking Systems. In Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance 2009, September 2-4, 2009, Genoa, Italy.

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Abstract

Performance evaluation of object tracking systems is typically performed after the data has been processed, by comparing tracking results to ground truth. Whilst this approach is fine when performing offline testing, it does not allow for real-time analysis of the systems performance, which may be of use for live systems to either automatically tune the system or report reliability. In this paper, we propose three metrics that can be used to dynamically asses the performance of an object tracking system. Outputs and results from various stages in the tracking system are used to obtain measures that indicate the performance of motion segmentation, object detection and object matching. The proposed dynamic metrics are shown to accurately indicate tracking errors when visually comparing metric results to tracking output, and are shown to display similar trends to the ETISEO metrics when comparing different tracking configurations.

Impact and interest:

4 citations in Scopus
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4 citations in Web of Science®

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ID Code: 31331
Item Type: Conference Paper
Keywords: Object Tracking, Performance Measures, Dynamic Metrics
DOI: 10.1109/AVSS.2009.32
ISBN: 9781424447558
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2009 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 19 Mar 2010 10:03
Last Modified: 01 Mar 2012 00:04

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