Real Time Human Motion Tracking with Image Alignment Optimization: Using Random Projection - Couverture souple

Muthu Kumar, B.

9783659877186: Real Time Human Motion Tracking with Image Alignment Optimization: Using Random Projection

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ISBN 10 : 3659877182 ISBN 13 : 9783659877186

Editeur : LAP LAMBERT Academic Publishing, 2016

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Analysis of human motion is studied in the context of 2D video image estimation. An adaptive human motion estimation filter with integrated phase compensator is designed to extract the relevant features from the human motion information through video samples. The use of phase compensator ensures that the algorithm performs well for both low and high frequency human motion estimation. An extended principal component analysis is applied to the two dimensional situation for dimensional reduction and results obtained, prove to be superior, compared to reported schemes. A correlation extractor is emulated in the hardware and extracts the interframe pixel correlation values and is spatial dependent. The implemented algorithm is scalable and generic and cause least modifications on the representation coefficients. Thus, it can tolerate increased variations on the motion appearance and keep the basis representation vector unaffected. Implementation results with real sequences are evaluated. The artefacts considered in the design include (i) Effects of expression, (ii) Illumination and (iii) Occlusion variations.

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� propos de l?auteur

Dr. MUTHU KUMAR B working as a Professor in Department of Computer Science & Engineering, Syed Ammal Engg. College, Ramanathapuram, Tamilnadu, India. His area of interest are Image Processing, Wireless Sensor Networks and Cloud Computing. He published 17 International Journals and 36 National/International conferences.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2016
Langue: anglais
ISBN 10: 3659877182
ISBN 13: 9783659877186
Reliure: Broch�
Nombre de pages: 156
Coordonn�es du fabricant: non disponible
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Real Time Human Motion Tracking with Image Alignment Optimization

B. Muthu Kumar

Edit� par LAP LAMBERT Academic Publishing Apr 2016, 2016

ISBN 10 : 3659877182 ISBN 13 : 9783659877186

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Analysis of human motion is studied in the context of 2D video image estimation. An adaptive human motion estimation filter with integrated phase compensator is designed to extract the relevant features from the human motion information through video samples. The use of phase compensator ensures that the algorithm performs well for both low and high frequency human motion estimation. An extended principal component analysis is applied to the two dimensional situation for dimensional reduction and results obtained, prove to be superior, compared to reported schemes. A correlation extractor is emulated in the hardware and extracts the interframe pixel correlation values and is spatial dependent. The implemented algorithm is scalable and generic and cause least modifications on the representation coefficients. Thus, it can tolerate increased variations on the motion appearance and keep the basis representation vector unaffected. Implementation results with real sequences are evaluated. The artefacts considered in the design include (i) Effects of expression, (ii) Illumination and (iii) Occlusion variations. 156 pp. Englisch. N� de r�f. du vendeur 9783659877186

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Real Time Human Motion Tracking with Image Alignment Optimization

B. Muthu Kumar

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Muthu Kumar B.Dr. MUTHU KUMAR B working as a Professor in Department of Computer Science & Engineering, Syed Ammal Engg. College, Ramanathapuram, Tamilnadu, India. His area of interest are Image Processing, Wireless Sensor Networks a. N� de r�f. du vendeur 158248564

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Real Time Human Motion Tracking with Image Alignment Optimization: Using Random Projection

B. Muthu Kumar

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Real Time Human Motion Tracking with Image Alignment Optimization

B. Muthu Kumar

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Analysis of human motion is studied in the context of 2D video image estimation. An adaptive human motion estimation filter with integrated phase compensator is designed to extract the relevant features from the human motion information through video samples. The use of phase compensator ensures that the algorithm performs well for both low and high frequency human motion estimation. An extended principal component analysis is applied to the two dimensional situation for dimensional reduction and results obtained, prove to be superior, compared to reported schemes. A correlation extractor is emulated in the hardware and extracts the interframe pixel correlation values and is spatial dependent. The implemented algorithm is scalable and generic and cause least modifications on the representation coefficients. Thus, it can tolerate increased variations on the motion appearance and keep the basis representation vector unaffected. Implementation results with real sequences are evaluated. The artefacts considered in the design include (i) Effects of expression, (ii) Illumination and (iii) Occlusion variations.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 156 pp. Englisch. N� de r�f. du vendeur 9783659877186

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Real Time Human Motion Tracking with Image Alignment Optimization : Using Random Projection

B. Muthu Kumar

Edit� par LAP LAMBERT Academic Publishing, 2016

ISBN 10 : 3659877182 ISBN 13 : 9783659877186

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Analysis of human motion is studied in the context of 2D video image estimation. An adaptive human motion estimation filter with integrated phase compensator is designed to extract the relevant features from the human motion information through video samples. The use of phase compensator ensures that the algorithm performs well for both low and high frequency human motion estimation. An extended principal component analysis is applied to the two dimensional situation for dimensional reduction and results obtained, prove to be superior, compared to reported schemes. A correlation extractor is emulated in the hardware and extracts the interframe pixel correlation values and is spatial dependent. The implemented algorithm is scalable and generic and cause least modifications on the representation coefficients. Thus, it can tolerate increased variations on the motion appearance and keep the basis representation vector unaffected. Implementation results with real sequences are evaluated. The artefacts considered in the design include (i) Effects of expression, (ii) Illumination and (iii) Occlusion variations. N� de r�f. du vendeur 9783659877186

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