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Qualitative motion understanding / Wilhelm Burger

Public ISBD Titre : Qualitative motion understanding Type de document : texte imprimé Auteurs : Wilhelm Burger, Auteur ; Bir Bhanu, Auteur Editeur : Boston : Kluwer academic publishers Année de publication : 1992 Collection : The kluwer international series in engineering and computer science Sous-collection : Robotics: vision, manipulation and sensors num. 184 Importance : XIII-210 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-0-7923-9251-4 Note générale : Bibliogr. p. [199]-206. Index Langues : Anglais (eng) Mots-clés : Robots  --  Motion Computer  vision Artificial  intelligence Index. décimale : 62-52 Machine et processus conduits ou contrôlés automatiquement Résumé : Qualitative motion understanding describes a qualitative approach to dynamic scene and motion analysis, called DRIVE (Dynamic Reasoning from Integrated Visual Evidence). The DRIVE system addresses the observed 3-D scene structure, and (c) evaluating the motion of individual objects from a sequence of monocular images. The approach is based on the FOE (focus of expansion) concept but it takes a somewhat unconventional route. The DRIVE system uses a qualitative scene model and a fuzzy focus of expansion to estimate robot motion from visual cues, to detect and track moving objects, and to construct and maintain a global dynamic reference model. Note de contenu : Contents: * Framework for qualitative motion understanding. * Effects of camera motion. * Decomposing image motion. * The fueey foe. * Reasoning about structure and motion. * The qualitative scene model. * Examples. Qualitative motion understanding [texte imprimé] / Wilhelm Burger, Auteur ; Bir Bhanu, Auteur . - Kluwer academic publishers, 1992 . - XIII-210 p. : ill. ; 24 cm. - (The kluwer international series in engineering and computer science. Robotics: vision, manipulation and sensors; 184) . ISBN : 978-0-7923-9251-4 Bibliogr. p. [199]-206. Index Langues : Anglais (eng) Mots-clés : Robots  --  Motion Computer  vision Artificial  intelligence Index. décimale : 62-52 Machine et processus conduits ou contrôlés automatiquement Résumé : Qualitative motion understanding describes a qualitative approach to dynamic scene and motion analysis, called DRIVE (Dynamic Reasoning from Integrated Visual Evidence). The DRIVE system addresses the observed 3-D scene structure, and (c) evaluating the motion of individual objects from a sequence of monocular images. The approach is based on the FOE (focus of expansion) concept but it takes a somewhat unconventional route. The DRIVE system uses a qualitative scene model and a fuzzy focus of expansion to estimate robot motion from visual cues, to detect and track moving objects, and to construct and maintain a global dynamic reference model. Note de contenu : Contents: * Framework for qualitative motion understanding. * Effects of camera motion. * Decomposing image motion. * The fueey foe. * Reasoning about structure and motion. * The qualitative scene model. * Examples.

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
041502	62-52 BUR	Papier	Bibliothèque Centrale	Automatique	Disponible