Combining multiple tracking algorithms for improved general performance

Shearer, Kim, Wong, Kirrily D. and Venkatesh, Svetha 2001, Combining multiple tracking algorithms for improved general performance, Pattern recognition, vol. 34, no. 6, pp. 1257-1269, doi: 10.1016/S0031-3203(00)00072-8.

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Title Combining multiple tracking algorithms for improved general performance
Author(s) Shearer, Kim
Wong, Kirrily D.
Venkatesh, SvethaORCID iD for Venkatesh, Svetha
Journal name Pattern recognition
Volume number 34
Issue number 6
Start page 1257
End page 1269
Total pages 12
Publisher Pergamon
Place of publication Oxford, England
Publication date 2001-06
ISSN 0031-3203
Keyword(s) object tracking
algorithm composition
Summary 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.
Language eng
DOI 10.1016/S0031-3203(00)00072-8
Field of Research 080305 Multimedia Programming
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2001, Pattern Recognition Society
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