DocumentCode :
3426730
Title :
Condensation tracking through a Hough space
Author :
French, Andrew ; Mills, Steven ; Pridmore, Tony
Author_Institution :
Sch. of Comput. Sci. & IT, Nottingham Univ., UK
Volume :
4
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
195
Abstract :
Recent work has shown tracking groups of lines through the parameter space represented by a Hough accumulator array to be efficient and insensitive to both occlusion and changes in illumination. Previous methods have, however, been less robust in the presence of distractions are a challenge to trackers of all types, but the problem is heightened in the Hough-based approach as short collinear segments give the same response as an equal length connected line. We describe the application of the condensation algorithm to tracking peaks through a Hough accumulator array, producing a tracking technique that is efficient and robust under illumination changes, occlusion and distractions.
Keywords :
Hough transforms; computer graphics; object detection; Hough accumulator array; Hough space; collinear segments; condensation tracking; distractions; illumination; object tracking; occlusion; Computer science; Computer vision; Image segmentation; Image sequences; Lighting; Milling machines; Motion estimation; Object detection; Optical computing; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1333737
Filename :
1333737
Link To Document :
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