ICAR Research Data Repository for Knowledge Management
Data association for multiple target tracking : an optimization approach
DSpace at IIT Bombay
View Archive Info| Field | Value | |
| Title |
Data association for multiple target tracking : an optimization approach
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| Creator |
ZAVERI, MA
MERCHANT, SN DESAI, UB |
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| Description |
In multiple target tracking the data association, observation to track fusion, is crucial and plays an important role for success of any tracking algorithm. The observation may be due to true target or may be clutter. In this paper, data association problem is viewed as an optimization problem and two methods, (i) using neural network and (ii) using the evolutionary algorithm, have been proposed and compared.
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| Publisher |
SPRINGER-VERLAG BERLIN
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| Date |
2011-10-23T16:30:05Z
2011-12-15T09:11:14Z 2011-10-23T16:30:05Z 2011-12-15T09:11:14Z 2004 |
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| Type |
Article; Proceedings Paper
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| Identifier |
NEURAL INFORMATION PROCESSING,3316,187-192
3-540-23931-6 0302-9743 http://dspace.library.iitb.ac.in/xmlui/handle/10054/15176 http://hdl.handle.net/100/1939 |
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| Source |
11th International Conference on Neural Information Processing,Calcutta, INDIA,NOV 22-25, 2004
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| Language |
English
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