Image enhancement from a stabilised video sequence

Scarmana, Gabriel (2012) Image enhancement from a stabilised video sequence. In: XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012) , 25 Aug – 01 Sept 2012, Melbourne, Australia.

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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.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Poster)
Refereed: No
Item Status: Live Archive
Additional Information: © Author(s) 2012. This work is distributed under the Creative Commons Attribution 3.0 License. additional information regarding this publication can be found in and
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013)
Date Deposited: 17 Dec 2012 02:16
Last Modified: 15 Sep 2017 03:11
Uncontrolled Keywords: multi-frame image enhancement; video stabilisation
Fields of Research (2008): 09 Engineering > 0915 Interdisciplinary Engineering > 091503 Engineering Practice
10 Technology > 1005 Communications Technologies > 100509 Video Communications
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Fields of Research (2020): 40 ENGINEERING > 4010 Engineering practice and education > 401003 Engineering practice
40 ENGINEERING > 4006 Communications engineering > 400699 Communications engineering not elsewhere classified
46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460306 Image processing
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology

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