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H -PMHT with an unknown arbitrary target
|Institute of Electrical and Electronics Engineers -IEEE-:|
ISSNIP 2011, 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing : Adelaide, 6.-9. December 2011
New York, NY: IEEE, 2011
|International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) <7, 2011, Adelaide>|
| Conference Paper|
The Histogram Probabilistic Multi-Hypothesis Tracker (H-PMHT) is a parametric track-before-detect algorithm that has been shown to give good performance at a relatively low computation cost. The original algorithm assumes a known target signature and provides joint detection and tracking. A recent advance has allowed for the estimation of a time evolving Gaussian signature. This paper introduces a non-parametric method for learning an arbitrary target signature. The two methods are compared on Gaussian and non-Gaussian targets.