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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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.
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659877186
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Zustand: 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. Bestandsnummer des Verkäufers 158248564
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Taschenbuch. Zustand: 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 Landstraße 99, 66123 Saarbrücken 156 pp. Englisch. Bestandsnummer des Verkäufers 9783659877186
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659877186
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Taschenbuch. Zustand: Neu. Real Time Human Motion Tracking with Image Alignment Optimization | Using Random Projection | B. Muthu Kumar | Taschenbuch | 156 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659877186 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 103835816
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