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Performance Evaluation Metrics and Statistics for Positional Tracker Evaluation

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Book cover Computer Vision Systems (ICVS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2626))

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Abstract

This paper discusses methods behind tracker evaluation, the aim being to evaluate how well a tracker is able to determine the position of a target object. Few metrics exist for positional tracker evaluation; here the fundamental issues of trajectory comparison are addressed, and metrics are presented which allow the key features to be described. Often little evaluation on how precisely a target is tracked is presented in the literature, with results detailing for what percentage of the time the target was tracked. This issue is now emerging as a key aspect of tracker performance evaluation.

The metrics developed are applied to real trajectories for positional tracker evaluation. Data obtained from a sports player tracker on video of a 5-a-side soccer game, and from a vehicle tracker, is analysed. These give quantitative positional evaluation of the performance of computer vision tracking systems, and provides a framework for comparison of different methods and systems on benchmark data sets.

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References

  1. T. J. Ellis. Performance metrics and methods for tracking in surveillance. In 3rd IEEE Workshop on Performance Evaluation of Tracking and Surveillance, Copenhagen, Denmark, 2002.

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© 2003 Springer-Verlag Berlin Heidelberg

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Needham, C.J., Boyle, R.D. (2003). Performance Evaluation Metrics and Statistics for Positional Tracker Evaluation. In: Crowley, J.L., Piater, J.H., Vincze, M., Paletta, L. (eds) Computer Vision Systems. ICVS 2003. Lecture Notes in Computer Science, vol 2626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36592-3_27

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  • DOI: https://doi.org/10.1007/3-540-36592-3_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00921-4

  • Online ISBN: 978-3-540-36592-1

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