Markov chain Monte Carlo data association for multi-target tracking

IEEE Transactions on Automatic Control

Volumn 54, Issue 3, 2009, Pages 481-497

  Oh, Songhwai ^a   Russell, Stuart ^b   Sastry, Shankar ^b  

^a University of California   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Joint probabilistic data association (JPDA); Markov chain Monte Carlo data association (MCMCDA); Multiple hypothesis tracking (MHT)

Indexed keywords

ALARM SYSTEMS; APPROXIMATION ALGORITHMS; MARKOV PROCESSES; MONTE CARLO METHODS; POLYNOMIAL APPROXIMATION; TARGETS; UNCERTAIN SYSTEMS;

ASSOCIATION PROBABILITIES; BAYESIAN FILTERS; CLUTTERED ENVIRONMENTS; DATA ASSOCIATION PROBLEMS; DETECTION PROBABILITIES; EXACT COMPUTATIONS; EXTENSIVE SIMULATIONS; EXTREME CONDITIONS; FALSE ALARM RATES; FULLY POLYNOMIAL RANDOMIZED APPROXIMATION SCHEMES; JOINT PROBABILISTIC DATA ASSOCIATION (JPDA); MARKOV CHAIN MONTE CARLO DATA ASSOCIATION (MCMCDA); MULTI SCANS; MULTI-TARGET TRACKING; MULTIPLE HYPOTHESIS TRACKING (MHT); NP-HARD; SIMULATION RESULTS; THEORETICAL RESULTS;

TARGET TRACKING;

EID: 63449088831     PISSN: 00189286     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAC.2009.2012975     Document Type: Article

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