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2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (2009)
Orlando, FL, USA
Oct. 19, 2009 to Oct. 22, 2009
ISBN: 978-1-4244-5390-0
pp: 185-186
Petra Krahwinkler , Institute of Man-Machine, Interaction, RWTH Aachen University, Germany
Jurgen Rossmann , Institute of Man-Machine, Interaction, RWTH Aachen University, Germany
Steffen Gauglitz , Dept. of Computer Science, University of California, Santa Barbara, USA
Tobias Hollerer , Dept. of Computer Science, University of California, Santa Barbara, USA
ABSTRACT
In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking systems, leading to an increased need for independent comparisons. However, existing evaluations are geared towards object recognition and image retrieval, and their results have limited validity for real-time visual tracking. We present a setup for evaluation of detectors and descriptors which is geared towards visual tracking in terms of testbed, candidate algorithms and performance criteria. Most notably, our testbed consists of video streams with several thousand frames naturally affected by noise and motion blur.
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CITATION
Petra Krahwinkler, Jurgen Rossmann, Steffen Gauglitz, Tobias Hollerer, "A setup for evaluating detectors and descriptors for visual tracking", 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), vol. 00, no. , pp. 185-186, 2009, doi:10.1109/ISMAR.2009.5336467
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