An efficient track management scheme for the Gaussian-mixture probability hypothesis density tracker

Proceedings - 4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006

Volumn , Issue , 2006, Pages 230-235

  Panta, Kusha ^a   Ba Ngu Vo, ^a   Clark, Daniel E ^b  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b HERIOT WATT UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BARIUM; ESTIMATION; GRANULAR MATERIALS; OBJECT RECOGNITION; PROBABILITY; RANDOM PROCESSES; RISK ASSESSMENT; TARGETS; TRELLIS CODES; UNCERTAINTY ANALYSIS; WAVE FILTERS;

CLOSED-FORM SOLUTIONS; COMPUTATIONALLY EFFICIENT; DATA ASSOCIATIONS; GAUSSIAN; GAUSSIAN COMPONENTS; GAUSSIAN MIXTURE; INFORMATION PROCESSING; INTELLIGENT SENSING; INTERNATIONAL CONFERENCES; MEASUREMENT SETS; PARALLEL PROCESSING; PHD FILTER; PROBABILITY HYPOTHESIS DENSITY; PROBABILITY HYPOTHESIS DENSITY FILTER; TEMPORAL ASSOCIATION; TIME-VARYING; TRACK MANAGEMENT;

DATA PROCESSING;

EID: 47749093178     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICISIP.2006.4286102     Document Type: Conference Paper

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