DocumentCode :
2163153
Title :
System theoretic methods in computer vision and image processing
Author :
Camps, Octavia ; Sznaier, Mario
Author_Institution :
Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
fYear :
2007
fDate :
2-5 July 2007
Firstpage :
860
Lastpage :
867
Abstract :
Dynamic vision and imaging systems have the potential to substantially improve our quality of life. However, key issues that must be addressed in order to deploy these systems in unstructured environments are their potential fragility and the need to process vast amounts of information in real time. As we show in this paper, these issues can be addressed by appealing to a common systems theoretic substrate that allows for recasting a wide range of problems into a tractable convex optimization form. These ideas are illustrated with several applications including multiframe tracking, motion segmentation, texture analysis/synthesis and video reconstruction and inpainting.
Keywords :
computer vision; convex programming; image motion analysis; image restoration; image segmentation; image texture; object tracking; video signal processing; computer vision; dynamic vision; image inpainting; image processing; motion segmentation; multiframe tracking; texture analysis; tractable convex optimization; video reconstruction; Computational modeling; Computer vision; Dynamics; Motion segmentation; Robustness; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2007 European
Conference_Location :
Kos
Print_ISBN :
978-3-9524173-8-6
Type :
conf
Filename :
7068635
Link To Document :
بازگشت