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 [BibTeX] [Marc21]
Combining multiple tracking algorithms for improved general performance
Type of publication: Idiap-RR
Citation: SWV00TR
Number: Idiap-RR-13-2000
Year: 2000
Institution: IDIAP
Abstract: Automated tracking of objects through a sequence of images has remained one of the difficult problems in computer vision. Numerous algorithms and techniques have been proposed for this task. Some algorithms perform well in restricted environments, such as tracking using stationary cameras, but a general solution is not currently available. A frequent problem is that when an algorithm is refined for one application, it becomes unsuitable for other applications. This paper proposes a general tracking system based on a different approach. Rather than refine one algorithm for a specific tracking task, two tracking algorithms are employed, and used to correct each other during the tracking task. By choosing the two algorithms such that they have complementary failure modes, a robust algorithm is created without increased specialisation.
Userfields: ipdmembership={vision},
Projects Idiap
Authors Shearer, Kim
Wong, Kirrily D
Venkatesh, Svetha
Crossref by SWV00
Added by: [UNK]
Total mark: 0
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