Tracking correlated, simultaneously evolving target populations
Fulltext not available
MetadataShow full item record
Mahler, R. 2016. Tracking correlated, simultaneously evolving target populations.
Proceedings of SPIE - The International Society for Optical Engineering
Department of Electrical and Computer Engineering
© 2016 SPIE. Multisensor-multitarget tracking algorithms are typically based on numerous statistical independence assumptions. This paper is the fifth in a series aimed at weakening such assumptions. It addresses the statistics of correlated, simultaneously evolving multitarget populations. The correlation between two multitarget popula-tions is approximately modeled using bivariate i.i.d.c. (independent, identically distributed cluster) distributions. Based on this, a joint tracking filter for such populations is devised, in analogy with the cardinalized probability hypothesis density (CPHD) filter.
Showing items related by title, author, creator and subject.
Hassan, AFM Kamrul (2010)This thesis examines the relationship between population structure and the real exchange rate in 23 OECD countries over the period 1980–2006. The motivation for this research stems mainly from the Life-Cycle Hypothesis ...
The socioeconomic pattern of health and developmental outcomes among Aboriginal and Torres Strait Islander childrenShepherd, Carrington C J (2012)The pervasive health and social disadvantage faced by Aboriginal and Torres Strait Islander peoples is an acknowledged part of Australian society. The contemporary data reveal striking inequalities between Indigenous and ...
Genetic connectivity and inter-population seed dispersal of Banksia hookeriana at the landscape scaleHe, Tianhua; Lamont, Byron; Krauss, S.; Enright, Neal (2010)Background and Aims: Landscape genetics combines approaches from population genetics and landscape ecology, increasing the scope for conceptual advances in biology. Banksia hookeriana comprises clusters of individuals ...