Multi-target tracking on intensity-modulated sensor data

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4380, Issue , 2001, Pages 36-45

  Streit, R L ^a   Graham, M L ^a   Walsh, M J ^a  

^a NAVAL UNDERSEA WARFARE CENTER   (United States)

Author keywords

Azimuth tracking; Distributed target signal; Multi target tracking; Probabilistic multi hypothesis tracking; Resampled prior; Thresholding loss

Indexed keywords

ALGORITHMS; PROBABILISTIC LOGICS; PROBABILITY DENSITY FUNCTION; SENSOR DATA FUSION; TARGETS;

MULTI-TARGET TRACKING;

TRACKING (POSITION);

EID: 0035158080     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.436985     Document Type: Conference Paper

References (13)

1. Maximum likelihood method for probabilistic multi-hypothesis tracking
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4. Maximum likelihood from incomplete data via the EM algorithm (with discussion)
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6. Fitting mixture models to grouped and truncated data via the EM algorithm
7. Algorithm AS 254. Maximum likelihood estimation from grouped and truncated data with finite normal mixture models
8. Improving the convergence rate of the EM algorithm for a mixture model fitted to grouped truncated data