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Detecting Events in Surveillance Videos: Mapping Low-level Analysis Data to High-level Scene Descriptions - Couverture souple

Neuhaus, Holger

 
9783639227031: Detecting Events in Surveillance Videos: Mapping Low-level Analysis Data to High-level Scene Descriptions
Couverture souple
ISBN 10 : 3639227034 ISBN 13 : 9783639227031
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

Along with the growing need for security, an increasing amount of surveillance content is created. It is indispensable to index the content in advance in order to enable quick and reliable searches on the output of hundreds or thousands of surveillance sensors installed at a single facility. The generation of this meta data has to be done automatically, based on the low-level features extracted by content analysis algorithms. Creating it manually becomes more and more difficult to handle in reasonable time at reasonable costs. Whereas formerly proposed approaches have been strongly application dependent, this work presents a generic concept for mapping the results of the low-level content analysis data to semantic event descriptions and its application. The main contribution of the presented approach are its generality and the early stage at which the step from low-level to high-level representation is taken. This reasoning in the meta data domain is performed on small time frames while the reasoning on complexer scenes is done in the semantic space. Even an unsupervised self-assessment is possible using the semantic approach.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Along with the growing need for security, an increasing amount of surveillance content is created. It is indispensable to index the content in advance in order to enable quick and reliable searches on the output of hundreds or thousands of surveillance sensors installed at a single facility. The generation of this meta data has to be done automatically, based on the low-level features extracted by content analysis algorithms. Creating it manually becomes more and more difficult to handle in reasonable time at reasonable costs. Whereas formerly proposed approaches have been strongly application dependent, this work presents a generic concept for mapping the results of the low-level content analysis data to semantic event descriptions and its application. The main contribution of the presented approach are its generality and the early stage at which the step from low-level to high-level representation is taken. This reasoning in the meta data domain is performed on small time frames while the reasoning on complexer scenes is done in the semantic space. Even an unsupervised self-assessment is possible using the semantic approach.

Biographie de l'auteur

Dr Neuhaus’ research is in the area of knowledge engineering. His primary interest is ontology design. He has been awarded a "Dr.-Ing." - equivalent to a Doctor of Philosophy in Engineering, from the Technical University of Ilmenau, Germany, in 2008.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639227034
ISBN 13 
9783639227031
Reliure
Broché
Nombre de pages
96
Coordonnées du fabricant
non disponible
Personne responsable
non disponible