Combination of Classifiers for Indoor Room Recognition CGS participation at ImageCLEF2010 Robot Vision Task

This paper represents a description of our approach to the problem of topological localization of a mobile robot using visual information. Our method has been developed for ImageCLEF 2010 Robot Vision Task challenge. The challenge was focused on the problem of visual place classification, with a special focus on generalization. The goal was to recognize rooms by the images captured with a stereo camera mounted on a mobile robot within an office environment. Algorithms should be able to reply to question "Where are you?", saying "I don't know" if the room analyzed was not presented during training phase. For the challenge three sequences were given: Training Set, Validation Set and Test Set acquired on three different floors of the same building. We chose to approach the challenge realizing a multiLevel machine learning architecture, made of a first "weak" classifiers Level based on visual features extracted from images and of a second Level performing...

• Type: Conference
• Year: 2010
• Where: CLEF
• Authors: Walter Lucetti, Emanuel Luchetti
• Keywords: CLEF 2010, Imageclef 2010 Robot, Information Technology, Mobile Robot, Vision Task Challenge