Multi-cue Discriminative Place Recognition

L. Xing, A. Pronobis

In: Multilingual Information Access Evaluation Vol. II Multimedia Experiments (C. Peters, B. Caputo, J. Gonzalo, G. Jones, J. Kalpathy-Cramer, H. Müller, T. Tsikrika, eds.), Volume 6242 of Lecture Notes in Computer Science, Springer, 2010.

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DOI: 10.1007/978-3-642-15751-6_41

In this paper we report on our successful participation in the RobotVision challenge in the ImageCLEF 2009 campaign. We present a place recognition system that employs four different discriminative models trained on different global and local visual cues. In order to provide robust recognition, the outputs generated by the models are combined using a discriminative accumulation method. Moreover, the system is able to provide an indication of the confidence of its decision. We analyse the properties and performance of the system on the training and validation data and report the final score obtained on the test run which ranked first in the obligatory track of the RobotVision task.

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@incollection{xing2010robotclef,
  author =       {Xing, Li and Pronobis, Andrzej},
  title =        {Multi-cue Discriminative Place Recognition},
  booktitle =    {Multilingual Information Access Evaluation Vol. II Multimedia Experiments},
  series =       {Lecture Notes in Computer Science},
  editor =       {Peters, Carol and Caputo, Barbara and Gonzalo, Julio and Jones, Gareth J. F. and Kalpathy-Cramer, Jayashree and M\"{u}ller, Henning and Tsikrika, Theodora},
  pages =        {315-323},
  volume =       6242,
  publisher =    {Springer},
  year =         2010,
  doi =          {10.1007/978-3-642-15751-6_41},
  url =          {http://www.pronobis.pro/publications/xing2010robotclef}
}