Detection and representation of moving objects for video surveillance

In this dissertation two new approaches have been introduced for the automatic detection of moving objects (such as people and vehicles) in video surveillance sequences. The first technique analyses the original video and exploits spatial and temporal information to find those pixels in the images that correspond to moving objects. The second technique analyses video sequences that have been encoded according to a recent video coding standard (H.264/AVC). As such, only the compressed features are analyzed to find moving objects. The latter technique results in a very fast and accurate detection (up to 20 times faster than the related work). Lastly, we investigated how different XML-based metadata standards can be used to represent information about these moving objects. We proposed the usage of Semantic Web Technologies to combine information described according to different metadata standards.

Grantor dc:publisher

Ghent University. Faculty of Engineering

Year dc:date

2009

Author dc:creator

• Poppe, Chris

Contributors dc:contributor

• Van de Walle, Rik

• Technology and Engineering
• moving object detection
• video analytics
• multimedia metadata

Statement dc:rights

• info:eu-repo/semantics/openAccess

Language dc:language

eng

Identifier

https://biblio.ugent.be/publication/706068
urn:isbn:9789085782858
https://biblio.ugent.be/publication/706068/file/4334992

OAI identifier oai:identifier

oai:archive.ugent.be:706068