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The robot vision track at ImageCLEF 2010
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.ORCID iD: 0000-0002-1396-0102
2010 (English)In: CLEF2010 Working Notes: Working Notes for CLEF 2010 Conference, Padua, Italy, September 22-23, 2010 / [ed] Martin Braschler, Donna Harman, Emanuele Pianta, Nicola Ferro, CEUR-WS , 2010Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes the robot vision track that has been proposed to the ImageCLEF 2010 participants. The track addressed the problem of visual place classification, with a special focus on generalization. Participants were asked to classify rooms and areas of an office environment on the basis of image sequences captured by a stereo camera mounted on a mobile robot, under varying illumination conditions. The algorithms proposed by the participants had to answer the question "where are you?" (I am in the kitchen, in the corridor, etc) when presented with a test sequence, acquired within the same building but at a different oor than the training sequence. The test data contained images of rooms seen during training, or additional rooms that were not imaged in the training sequence. The participants were asked to solve the problem separately for each test image (obligatory task). Additionally, results could also be reported for algorithms exploiting the temporal continuity of the image sequences (optional task). A total of seven groups participated to the challenge, with 42 runs submitted to the obligatory task, and 13 submitted to the optional task. The best result in the obligatory task was obtained by the Computer Vision and Geometry Laboratory, ETHZ, Switzerland, with an overall score of 677. The best result in the optional task was obtained by the Idiap Research Institute, Martigny, Switzerland, with an overall score of 2052.

Place, publisher, year, edition, pages
CEUR-WS , 2010.
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 1176
Keyword [en]
Place recognition, Robot localization, Robot vision
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-165020Scopus ID: 2-s2.0-84922021473OAI: oai:DiVA.org:kth-165020DiVA: diva2:806773
Conference
2010 Working Notes for CLEF Conference, CLEF 2010, Padua, Italy, 22 September 2010 through 23 September 2010
Note

QC 20150421

Available from: 2015-04-21 Created: 2015-04-21 Last updated: 2015-04-21Bibliographically approved

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