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  A learning-based computer vision approach for the inference of articulated motion

Curio, C. (2005). A learning-based computer vision approach for the inference of articulated motion. PhD Thesis, Ruhr-Universität Bochum, Bochum, Germany.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D35F-B Versions-Permalink: https://hdl.handle.net/21.11116/0000-0004-D681-8
Genre: Hochschulschrift

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Curio, C1, Autor           
Affiliations:
1External Organizations, ou_persistent22              

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 Zusammenfassung: Computer vision approaches to human motion analysis have received considerable attention from different research areas over the past couple of years. The strong interest is largely due to their various applications in surveillance, driver assistance systems, human-computer interfaces, marker-less motion capture, biomedical engineering and computer graphics. This thesis investigates the computational integration of different visual representations for the detection of human bodies and the analysis of their movements in both indoor and unconstrained outdoor environments. New image coding schemes are presented in combination with methods from machine learning and dynamic filtering to address issues of complexity, robustness and generalization.

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 Datum: 2005-12
 Publikationsstatus: Erschienen
 Seiten: 187
 Ort, Verlag, Ausgabe: Bochum, Germany : Ruhr-Universität Bochum
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: BibTex Citekey: 5814
 Art des Abschluß: Doktorarbeit

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Titel: A learning-based computer vision approach for the inference of articulated motion
Genre der Quelle: Buch
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Ort, Verlag, Ausgabe: Stuttgart, Germany : ibidem-Verlag
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: ISBN: 3-89821-602-0