Title :
Unsupervised track classification based on Hierarchical Dirichlet Processes
Author :
Sildam, Juri ; Braca, Paolo ; Lepage, Kyle ; Willett, P.
Author_Institution :
NATO STO CMRE, La Spezia, Italy
Abstract :
An unsupervised track classification approach is applied to sonar multistatic multitarget tracking. Appropriate discriminative and aggregative features are derived from beamformed and normalized matched-filtered data as recorded from a linear array towed behind an AUV. A clustering algorithm based on Hierarchical Dirichlet Processes is proposed for unsupervised classification of tracks. Overall improvement of target tracking is demonstrated via the Optimal Subpattern Assignment metric.
Keywords :
array signal processing; electrical engineering computing; matched filters; pattern clustering; signal classification; sonar signal processing; sonar tracking; statistical distributions; target tracking; unsupervised learning; AUV; aggregative features; beamforming; clustering algorithm; discriminative features; hierarchical Dirichlet processes; linear array; normalized matched-filtered data; optimal subpattern assignment metric; sonar multistatic multitarget tracking; unsupervised track classification approach; Entropy; Hidden Markov models; Sea measurements; Signal to noise ratio; Target tracking; Trajectory; clustering; hierarchical Dirichlet processes; infinite HMM; tracking;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location :
Marrakech
