Real time object recognition and tracking using 2D/3D images [Elektronische Ressource] / von Seyed Eghbal Ghobadi

Real Time Object Recognition and Tracking Using 2D/3D ImagesVom Fachbereich Elektrotechnik und Informatik derUniversität Siegenzur Erlangung des akademischen GradesDoktor der Ingenieurwissenschaften(Dr.-Ing.)genehmigte DissertationvonM.Sc. Seyed Eghbal Ghobadi1. Gutachter: Prof. Dr.-Ing. habil. Otmar Loffeld2. Gutachter: Prof. Dr. Bernd RadigVorsitzender: Prof. Dr. Roland WismüllerTag der mündlichen Prüfung: 16.09.2010Gedruckt auf alterungsbeständigem holz- und säurefreiem Papier.AbstractReal Time Object Recognition and Tracking Using 2D/3D ImagesObject recognition and tracking are the main tasks in computer vision applications such as safety, surveillance, human-robot-interaction, driving assistance system, traffic monitoring, remote surgery, medical reasoning and many more. In all these applications the aim is to bring the visual perception capabilities of the human being into the machines and computers. In this context many significant researches have recently been conducted to open new horizons in computer vision by using both 2D and 3D visual aspects of the scene. While the 2D visual aspect represents some data about the color or intensity of the objects in the scene, the 3D denotes some information about the position of the object surfaces. In fact, these aspects are two different modalities of vision which should be necessarily fused in many computer vision applications to comprehend our three-dimensional colorful world efficiently.