This paper presents a vision-based motion capture system to quantify changes in temporal domain resulting from motion. The paper also investigates the chaotic behavior of the moving underwater species. The main target is to track the moving object and capture the time sequence behind the moving object. Simulation results show that the proposed algorithm is successful in tracking the moving fishes and in classifying them. The whole task is divided into several modules-image capturing module, image processing module and time series extraction module. The training performance can be improved if it is possible to take larger time series, more training data and faster frame sequence.
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This paper presents a vision-based motion capture system to quantify changes in temporal domain resulting from motion. The paper also investigates the chaotic behavior of the moving underwater species. The main target is to track the moving object and capture the time sequence behind the moving object. Simulation results show that the proposed algorithm is successful in tracking the moving fishes and in classifying them. The whole task is divided into several modules-image capturing module, image processing module and time series extraction module. The training performance can be improved if it is possible to take larger time series, more training data and faster frame sequence.
I have completed B.Sc. in EEE from KUET in 2011.I have written a book on "Performance improvement of a solar cell using (GaP)".I have submitted 2 paper on "grounding System in industry" and on "determination of typical load profile of consumers using FUZZY logic".Now, I have worked as "Electrical Maintenance Engineer" in Meghna Knit Composite Ltd.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ahmed ShahriarI have completed B.Sc. in EEE from KUET in 2011.I have written a book on Performance improvement of a solar cell using (GaP) .I have submitted 2 paper on grounding System in industry and on determination of typical . N° de réf. du vendeur 5158496
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This paper presents a vision-based motion capture system to quantify changes in temporal domain resulting from motion. The paper also investigates the chaotic behavior of the moving underwater species. The main target is to track the moving object and capture the time sequence behind the moving object. Simulation results show that the proposed algorithm is successful in tracking the moving fishes and in classifying them. The whole task is divided into several modules-image capturing module, image processing module and time series extraction module. The training performance can be improved if it is possible to take larger time series, more training data and faster frame sequence. N° de réf. du vendeur 9783659477614
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Taschenbuch. Etat : Neu. A Vision Based Motion Capture System | A new approach to real time moving object classifier | Shahriar Ahmed (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659477614 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 105622056
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