[1]WANG Shao-yu,CAI Zi-xing,CHEN Ai-bin.Improved object tracking method for particle filters[J].CAAI Transactions on Intelligent Systems,2008,3(3):189-194.
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Improved object tracking method for particle filters

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 3 Number of periods: 2008 3 Page number: 189-194 Column: 学术论文—人工智能基础 Public date: 2008-06-25
Title:
Improved object tracking method for particle filters
Author(s):
WANG Shao-yu; CAI Zi-xing; CHEN Ai-bin
School of Information Science and Engineering; Central South University; Changsha 410083; China
Keywords:
object tracking;  particle filtering;  Euclidian distance;  histogram
CLC:
TP242
DOI:
-
Abstract:
The op timal design of stack filters is actually an op timization of a positive Boolean function. In order to speed up the op timizing rate and p roduce a global op timal design of the stack filters, an imp roved clonal selection algorithm ( ICSA) is p resented, which introduces a polyclonal operator and simultaneous evolution of the memory u2 nit and the reserved group. The number of clonal particles in the memory unit can adap tively change with their af2 finity concentration. Regroup ing operations are made between parent generations and child generations in the mem2 ory unit, avoiding p roblems caused by breeding two close particles. The p reservation of group mutations guarantees diversity. Our experimental results confirmed that stack filters op timized with ICSA p roduce better filtering results in less time.
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