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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Soohwan Kim Howon Cheong Dong Hwan Kim Sung-Kee Park |
| Copyright Year | 2011 |
| Description | Author affiliation: Yonsei University and works for Korea Institute of Science and Technology, 39-1 Hawolgok-Dong, Wolsong-Gil 5, Seongbuk-Gu, Seoul, Republic of Korea (Howon Cheong) || Korea Institute of Science and Technology (Dong Hwan Kim; Sung-Kee Park) || The Australian National University, Building 115 North Road, The Australian National University, Canberra ACT 0200 (Soohwan Kim) |
| Abstract | This paper proposes a new method to detect doors using context-based object recognition. Particularly, in order to improve the efficiency of object recognition, we utilize robotic context such as the robot's viewpoint and the average height of doorknobs. The robotic context is used to make a region of interest in a captured image which reduces both the computational time and false-postive rate in the object recognition process. In addition, we employ shape features for object recognition which makes our method more robust to appearance changes than others using texture features like SIFTs and SURFs. We implemented a door detection system on a mobile robot with a stereo camera and demonstrated in corridor environments. Here, two types of doorknobs are tested: straight (door-handle) and round (door-knob) ones. The experimental results show that our method works successfully with different kinds of doorknobs in real environments. |
| Starting Page | 155 |
| Ending Page | 160 |
| File Size | 675969 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457711589 |
| e-ISBN | 9781457711596 |
| DOI | 10.1109/ICAR.2011.6088578 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-20 |
| Publisher Place | Estonia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robots Object recognition Context Shape Feature extraction Image edge detection |
| Content Type | Text |
| Resource Type | Article |
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