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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Canavan, R. McCullough, C. Farrell, W.J. |
| Copyright Year | 2009 |
| Description | Author affiliation: R&D Department, Adaptive Methods, Inc., Centreville, VA, U.S.A. (Farrell, W.J.) || Dept. of Computer Science and Engineering, University of Tennessee at Chattanooga, TN, U.S.A. (Canavan, R.; McCullough, C.) |
| Abstract | In order to reduce the labor-intensive nature of evaluating quality of fused tracks in a multi-sensor, multi-platform environment, the Metrics Assessment System (MAS) was developed to provide heavily automated, real-time metric calculation and display. The MAS presents metrics in tables and graphs within the tactical display and provides overlays on the tactical display for focused assessment. Originally, MAS included standard kinematic metrics, but more recent work has generated additional metrics based on track-to-track versions of Track Purity, Target Effectiveness, and Assignment Accuracy, metrics derived from a confusion matrix analysis of the fused and known truth tracks, and Receiver Operating Characteristic Curves. Data mining tools were used to assess the effectiveness of candidate metrics for inclusion in the MAS. This paper describes the metrics, the evaluations, and the framework for metric assessment which this work has provided. |
| Starting Page | 1147 |
| Ending Page | 1154 |
| File Size | 2161413 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780982443804 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | ISIF |
| Subject Keyword | Target tracking Data mining Performance evaluation System testing Sea measurements Performance analysis Performance gain Computer science Computer displays Kinematics metrics Tracking track fusion performance evaluation data mining |
| Content Type | Text |
| Resource Type | Article |
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