DocumentCode :
597925
Title :
Trackability
Author :
Acton, Scott T.
Author_Institution :
Electr. & Comput. Eng., Biomed. Eng., Univ. of Virginia, Charlottesville, VA, USA
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
425
Lastpage :
428
Abstract :
Trackability is defined here as a numerical measure associated with a video for a given target that increases with decreasing difficulty of tracking the target. The method applied to quantify trackability is grounded in information theory. First, a measure of similarity between the target signal and the template is established by way of mutual information. This mutual information becomes a three-variable analysis as the influence of clutter is considered. The effects of video quality are included in a traditional Shannon-Hartley computation and the motion of the target and registration of the video are used to modify this quality-motion term. The sum of both terms, computed in bits per second, yields trackability. Fifteen tracking experiments show a promising Spearman rank correlation between the trackability and the actual tracking performance.
Keywords :
image motion analysis; image registration; information theory; object tracking; target tracking; video signal processing; Shannon-Hartley computation; Spearman rank correlation; information theory; mutual information; quality-motion term; similarity measurement; target motion; target signal; target tracking; template; three-variable analysis; trackability; tracking performance; video quality; video registration; Biomedical measurements; Clutter; Mutual information; Radar tracking; Signal to noise ratio; Target tracking; Target tracking; information theory; quality measures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6466887
Filename :
6466887
Link To Document :
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