Presentation | 2012/1/12 Indoor place categorization for service robots using camera and depth images MARTINEZ MOZOS OSCAR, HITOSHI MIZUTANI, RYO KURAZUME, YUMI IWASHITA, TSUTOMU HASEGAWA, |
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Abstract(in English) | An important capability for service robots working with humans in indoor environments is their ability to categorize the different places where they are located. In this paper we present an approach to categorize different areas in indoor environments using an RGB-D sensor like the Kinect camera. First, RGB images are transformed into grey scale images. Then, grey scale and depth images are transformed into histograms of local features that incorporate neigh-boring relations by applying local binary patterns and also a short version of this pattern. The feature vectors corresponding to grey scale and depth images are combined and categorized into different places using supervised classifiers like for example support vector machines. We apply this method to distinguish five different place categories and obtain high recognition rates. |
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Paper # | Vol.2012-CVIM-180 No.29 |
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Committee | CQ |
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Conference Date | 2012/1/12(1days) |
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Registration To | Communication Quality (CQ) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
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Title (in English) | Indoor place categorization for service robots using camera and depth images |
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1st Author's Name | MARTINEZ MOZOS OSCAR |
1st Author's Affiliation | Kyushu University, Faculty of Information Science and Electrical Engineering() |
2nd Author's Name | HITOSHI MIZUTANI |
2nd Author's Affiliation | Kyushu University, Graduate School of Information Science and Electrical Engineering |
3rd Author's Name | RYO KURAZUME |
3rd Author's Affiliation | Kyushu University, Faculty of Information Science and Electrical Engineering |
4th Author's Name | YUMI IWASHITA |
4th Author's Affiliation | Kyushu University, Faculty of Information Science and Electrical Engineering |
5th Author's Name | TSUTOMU HASEGAWA |
5th Author's Affiliation | Kyushu University, Faculty of Information Science and Electrical Engineering |
Date | 2012/1/12 |
Paper # | Vol.2012-CVIM-180 No.29 |
Volume (vol) | vol.111 |
Number (no) | 378 |
Page | pp.pp.- |
#Pages | 8 |
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