Video surveillance using a time-of-light camera

Davide Silvestre

AbstractThe research of these last years is more and more focusing on building systems for observing humans and understanding their appearance and activities.

The aim of this work is to implement a people detection and tracking algorithm using the time-of-flight camera SwissRanger 3000. This kind of camera is able to measure both the grayscale image of the scene and the depth for each pixel. With these two types of information the images coming from the camera can be processed to extract the blobs present on them, detect people moving and track them in the video. Besides the interest will be pointed not only on the results that can be obtained, but also on the analysis of the limitations and problems encountered using this camera prototype.
TypeMaster's thesis [Academic thesis]
PublisherInformatics and Mathematical Modelling, Technical University of Denmark, DTU
AddressRichard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby
NoteSupervised by Assoc. Professor Rasmus Larsen, and co-supervised by Dan Witzner Hansen, IMM, DTU.
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics