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Advanced data association techniques in multi-target tracking system: Solving to multi-target tracking issues - Brossura
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In multi-target tracking system, data association and tracking filter are two basic parts of tracking objects. The choosing of data association technique to associate the track to the true target in noisy received measurements is an important key to overcome the issues of the tracking process. Many data association algorithms have been developed to be the most powerful techniques for these issues, but still there are disadvantages in their restricting assumptions, complexity and in the resulting performance. For these reasons, some of data association algorithms that are widely used have been studied. These algorithms have some issues during tracking in dense clutter environment, tracking a highly maneuvering targets and swapping in the presence of more background clutter and false signal. Then, these algorithms have been updated to overcome the issues, improve the performance, decrease the burden of the computational cost, decrease the probability of error and to give the targets the ability to continue tracking without failing.
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L'autore
N.M.Shawky is working as programmer and researcher in military technical research center.He received the PhD degree in Computer Engineering from Faculty of Engineering,Helwan University, Cairo, Egypt. His research interests include dsp in real time application,design of adaptive filter for noise canceling and advanced techniques in tracking system
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Advanced data association techniques in multi-target tracking system
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LAP LAMBERT Academic Publishing Nov 2012, 2012
ISBN 10: 3659306932
ISBN 13: 9783659306938
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In multi-target tracking system, data association and tracking filter are two basic parts of tracking objects. The choosing of data association technique to associate the track to the true target in noisy received measurements is an important key to overcome the issues of the tracking process. Many data association algorithms have been developed to be the most powerful techniques for these issues, but still there are disadvantages in their restricting assumptions, complexity and in the resulting performance. For these reasons, some of data association algorithms that are widely used have been studied. These algorithms have some issues during tracking in dense clutter environment, tracking a highly maneuvering targets and swapping in the presence of more background clutter and false signal. Then, these algorithms have been updated to overcome the issues, improve the performance, decrease the burden of the computational cost, decrease the probability of error and to give the targets the ability to continue tracking without failing. 212 pp. Englisch. Codice articolo 9783659306938
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Advanced data association techniques in multi-target tracking system
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659306932
ISBN 13: 9783659306938
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohamed Shawky Negm EldinN.M.Shawky is working as programmer and researcher in military technical research center.He received the PhD degree in Computer Engineering from Faculty of Engineering,Helwan University, Cairo, Egypt. His res. Codice articolo 5147310
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Advanced data association techniques in multi-target tracking system : Solving to multi-target tracking issues
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659306932
ISBN 13: 9783659306938
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In multi-target tracking system, data association and tracking filter are two basic parts of tracking objects. The choosing of data association technique to associate the track to the true target in noisy received measurements is an important key to overcome the issues of the tracking process. Many data association algorithms have been developed to be the most powerful techniques for these issues, but still there are disadvantages in their restricting assumptions, complexity and in the resulting performance. For these reasons, some of data association algorithms that are widely used have been studied. These algorithms have some issues during tracking in dense clutter environment, tracking a highly maneuvering targets and swapping in the presence of more background clutter and false signal. Then, these algorithms have been updated to overcome the issues, improve the performance, decrease the burden of the computational cost, decrease the probability of error and to give the targets the ability to continue tracking without failing. Codice articolo 9783659306938
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Advanced data association techniques in multi-target tracking system: Solving to multi-target tracking issues
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659306932
ISBN 13: 9783659306938
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Da: Mispah books, Redhill, SURRE, Regno Unito
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA79636593069326
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Advanced data association techniques in multi-target tracking system
Editore:
LAP LAMBERT Academic Publishing Nov 2012, 2012
ISBN 10: 3659306932
ISBN 13: 9783659306938
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In multi-target tracking system, data association and tracking filter are two basic parts of tracking objects. The choosing of data association technique to associate the track to the true target in noisy received measurements is an important key to overcome the issues of the tracking process. Many data association algorithms have been developed to be the most powerful techniques for these issues, but still there are disadvantages in their restricting assumptions, complexity and in the resulting performance. For these reasons, some of data association algorithms that are widely used have been studied. These algorithms have some issues during tracking in dense clutter environment, tracking a highly maneuvering targets and swapping in the presence of more background clutter and false signal. Then, these algorithms have been updated to overcome the issues, improve the performance, decrease the burden of the computational cost, decrease the probability of error and to give the targets the ability to continue tracking without failing.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 212 pp. Englisch. Codice articolo 9783659306938
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