Header

Shop : Details

Shop
Details
978-3-8440-3046-4
48,80 €
ISBN 978-3-8440-3046-4
Paperback
166 Seiten
95 Abbildungen
245 g
21 x 14,8 cm
Englisch
Dissertation
September 2014
Adrian Leu
Robust Real-time Vision-based Human Detection and Tracking
In the last couple of decades technology has made its way into our everyday lives including our homes, our offices and the vehicles we use for travelling. Many modern devices interact with humans in a more or less intuitive way and some of them use cameras for observing or interacting with humans. Nevertheless, teaching a machine to detect humans in an image or a video is a very difficult task. There are many aspects that contribute to the complexity of this task, such as the many variations in the humans' perceived appearances: their constitution, their clothes and the dynamic nature of the activities performed by humans.
The focus of this thesis is on the development of reliable algorithms for real-time vision-based human detection and tracking in indoor and outdoor applications. In order to achieve this, the algorithms presented in this thesis were developed for traditional passive cameras, as they perform well in both environments. The novel approaches for vision-based human detection and tracking are presented for three different applications: gait analysis, pedestrian detection and human-robot interaction. These approaches have in common the need for real-time human detection and tracking in video sequences in order to extract application-specific data regarding the tracked human.
In order to cope with human detection and tracking as a computational expensive task, novel hardware-specific optimizations of the proposed image processing algorithms are presented, that allow the algorithms to run in real-time. For this purpose GPU implementations are presented for pedestrian detection and the processing times are compared to CPU and FPGA implementations. In the case of human-robot interaction the real-time human tracking is achieved by using distributed computing.
Schlagwörter: Computer Vision; Human Detection; Human Tracking; Image Segmentation; Disparity Map Segmentation
Verfügbare Online-Dokumente zu diesem Titel
DOI 10.2370/9783844030464
Sie benötigen den Adobe Reader, um diese Dateien ansehen zu können. Hier erhalten Sie eine kleine Hilfe und Informationen, zum Download der PDF-Dateien.
Bitte beachten Sie, dass die Online-Dokumente nicht ausdruckbar und nicht editierbar sind.
Bitte beachten Sie auch weitere Informationen unter: Hilfe und Informationen.
 
 DokumentGesamtdokument 
 DateiartPDF 
 Kosten36,60 € 
 AktionZahlungspflichtig kaufen und anzeigen der Datei 
 AktionZahlungspflichtig kaufen und download der Datei 
     
 
 DokumentInhaltsverzeichnis 
 DateiartPDF 
 Kostenfrei 
 AktionAnzeigen der Datei 
 AktionDownload der Datei 
     
Benutzereinstellungen für registrierte Online-Kunden (Online-Dokumente)
Sie können hier Ihre Adressdaten ändern sowie bereits georderte Dokumente erneut aufrufen.
Benutzer
Nicht angemeldet
Export bibliographischer Daten
Shaker Verlag GmbH
Am Langen Graben 15a
52353 Düren
  +49 2421 99011 9
Mo. - Do. 8:00 Uhr bis 16:00 Uhr
Fr. 8:00 Uhr bis 15:00 Uhr
Kontaktieren Sie uns. Wir helfen Ihnen gerne weiter.
Social Media