Tracking a large number of closely spaced objects based on the particle probability hypothesis density filter via optical sensor

Optical Engineering

Volumn 50, Issue 11, 2011, Pages

  Lin, Liangkui ^a   Xu, Hui ^a   An, Wei ^a   Sheng, Weidong ^a   Xu, Dan ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

closely spaced objects; multiassignment; multitarget tracking; optical sensor; particle filter; probability hypothesis density; random finite set; track management

Indexed keywords

BANDPASS FILTERS; CLUTTER (INFORMATION THEORY); OPTICAL SENSORS; SIGNAL FILTERING AND PREDICTION;

CLOSELY SPACED OBJECTS; MULTI-TARGET TRACKING; MULTIASSIGNMENT; PARTICLE FILTER; PROBABILITY HYPOTHESIS DENSITY; RANDOM FINITE SETS; TRACK MANAGEMENT;

PROBABILITY;

EID: 84910592972     PISSN: 00913286     EISSN: 15602303     Source Type: Journal    
DOI: 10.1117/1.3651798     Document Type: Article

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