TY - GEN
T1 - Performance analysis of the probabilistic multi-hypothesis tracking algorithm on the SEABAR data sets
AU - Hempel, Christian G.
AU - Pacheco, Jason
PY - 2009
Y1 - 2009
N2 - The Probabilistic Multi-hypothesis Tracking (PMHT) algorithm [1] is a batch type multi-target tracking algorithm based on the Expectation-Maximization (EM) method [2]. Unlike other more popular methods (e.g., Multi-Hypothesis Tracking, MHT) the computational burden of PMHT grows linearly in the size of the batch, the number of clutter detections, and the number of targets tracked. The SEABAR [3] sea tiail was conducted by the NATO Undersea Research Center in 2007 to investigate the suitability of some experimental high gain deployed active sonar receivers for tracking underwater contacts of interest. The sea trial yielded several useful multi-static active sonar data sets. The purpose of the effort reported here is to assess the target tracking performance of PMHT using structured multi-static active sonar sea trial data collected during the SEABAR experiment. This study quantifies the effects of batch size on the ability of PMHT to hold track on constant velocity and maneuvering contacts to determine the values that provide acceptable tracking performance. Situations involving contact maneuvers or temporary loss of detection (a.k.a., drop outs) are of particular interest. Specifically, the ability of PMHT to hold track as a function of batch size for two multi-static active sonar sea trial data sets containing contact maneuvers and drop outs will be assessed.
AB - The Probabilistic Multi-hypothesis Tracking (PMHT) algorithm [1] is a batch type multi-target tracking algorithm based on the Expectation-Maximization (EM) method [2]. Unlike other more popular methods (e.g., Multi-Hypothesis Tracking, MHT) the computational burden of PMHT grows linearly in the size of the batch, the number of clutter detections, and the number of targets tracked. The SEABAR [3] sea tiail was conducted by the NATO Undersea Research Center in 2007 to investigate the suitability of some experimental high gain deployed active sonar receivers for tracking underwater contacts of interest. The sea trial yielded several useful multi-static active sonar data sets. The purpose of the effort reported here is to assess the target tracking performance of PMHT using structured multi-static active sonar sea trial data collected during the SEABAR experiment. This study quantifies the effects of batch size on the ability of PMHT to hold track on constant velocity and maneuvering contacts to determine the values that provide acceptable tracking performance. Situations involving contact maneuvers or temporary loss of detection (a.k.a., drop outs) are of particular interest. Specifically, the ability of PMHT to hold track as a function of batch size for two multi-static active sonar sea trial data sets containing contact maneuvers and drop outs will be assessed.
KW - Batch size
KW - Batch target tracking
KW - Centralized and distributed processing systems
KW - Multi-static active sonar
KW - Probabilistic Multi-hypothesis Tracker
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UR - http://www.scopus.com/inward/citedby.url?scp=70449370158&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:70449370158
SN - 9780982443804
T3 - 2009 12th International Conference on Information Fusion, FUSION 2009
SP - 1830
EP - 1836
BT - 2009 12th International Conference on Information Fusion, FUSION 2009
T2 - 2009 12th International Conference on Information Fusion, FUSION 2009
Y2 - 6 July 2009 through 9 July 2009
ER -