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Issue No. 10 - Oct. (2013 vol. 35)
ISSN: 0162-8828
pp: 2553-2560
I. Leichter , Adv. Technol. Labs. Israel- Microsoft Res., Microsoft R&D Center, Haifa, Israel
E. Krupka , Adv. Technol. Labs. Israel- Microsoft Res., Microsoft R&D Center, Haifa, Israel
ABSTRACT
There exists an abundance of systems and algorithms for multiple target detection and tracking in video, and many measures for evaluating the quality of their output have been proposed. The contribution of this paper lies in the following: first, it argues that such performance measures should have two fundamental properties-monotonicity and error type differentiability; second, it shows that the recently proposed measures do not have either of these properties and are, thus, less usable; third, it composes a set of simple measures, partly built on common practice, that does have these properties. The informativeness of the proposed set of performance measures is demonstrated through their application on face detection and tracking results.
INDEX TERMS
Target tracking, Measurement uncertainty, Corporate acquisitions, Indexes, Object detection, Context,multiple targets, Performance evaluation, tracking
CITATION
I. Leichter, E. Krupka, "Monotonicity and Error Type Differentiability in Performance Measures for Target Detection and Tracking in Video", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 35, no. , pp. 2553-2560, Oct. 2013, doi:10.1109/TPAMI.2013.70
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