Image enhancement from a stabilised video sequence

Poster

Scarmana, Gabriel. 2012. "Image enhancement from a stabilised video sequence." Shortis, M., Paparoditis, N. and Mallet, C. (ed.) 22nd Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012). Melbourne, Australia 25 Aug - 01 Sep 2012 London, United Kingdom.
Paper/Presentation Title

Image enhancement from a stabilised video sequence

Presentation TypePoster
Authors
AuthorScarmana, Gabriel
EditorsShortis, M., Paparoditis, N. and Mallet, C.
Journal or Proceedings TitleProceedings of the XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012)
Number of Pages13
Year2012
Place of PublicationLondon, United Kingdom
Web Address (URL) of Paperhttp://www.isprs2012.org
Conference/Event22nd Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012)
Event Details
22nd Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012)
Parent
The Congress of the International Society for Photogrammetry and Remote Sensing
Event Date
25 Aug 2012 to end of 01 Sep 2012
Event Location
Melbourne, Australia
Abstract

The aim of video stabilisation is to create a new video sequence where the motions (i.e. rotations, translations) and scale differences between frames (or parts of a frame) have effectively been removed. These stabilisation effects can be obtained via digital video processing techniques which use the information extracted from the video sequence itself, with no need for additional hardware or knowledge about camera physical motion.
A video sequence usually contains a large overlap between successive frames, and regions of the same scene are sampled at different positions. In this paper, this multiple sampling is combined to achieve images with a higher spatial resolution. Higher resolution imagery play an important role in assisting in the identification of people, vehicles, structures or objects of interest captured by surveillance cameras or by video cameras used in face recognition, traffic monitoring, traffic law reinforcement, driver assistance and automatic vehicle guidance systems.

Keywordsmulti-frame image enhancement; video stabilisation
ANZSRC Field of Research 2020401003. Engineering practice
400699. Communications engineering not elsewhere classified
460306. Image processing
Byline AffiliationsFaculty of Engineering and Surveying
Institution of OriginUniversity of Southern Queensland
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