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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiao ming Dong Kui Yuan |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Hi-tech Innovation Center, Institute of Automation, Chinese Academy of Sciences, ZhongGuanCun east road 95, Beijing, China (Xiao ming Dong; Kui Yuan) |
| Abstract | Robot navigation has been a hot topic in the area of mobile robot. A lot of research has been undergone ranging from noble algorithms to applications. Fisheye image has wide angle View and it is easy to obtain the position of the object and keep it in vision within large scale, so it is an important research domain in robot navigation. However it has a disadvantage that the image obtained from fisheye has severe distortions which improve the difficulties in object detection. In this paper we design a circle landmark and combine the feature of the color and edge of the landmark to identify and track. To improve the robustness we still design a feature update model in the tracking process. Experiment shows that this method can recognize and track the landmark robustly and implement robot navigation in room environment effectively. |
| File Size | 706278 |
| File Format | |
| ISBN | 9781424463473 |
| e-ISBN | 9781424463497 |
| DOI | 10.1109/ICCET.2010.5486055 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | landmark design Image recognition Navigation Robot vision systems fisheye image Optical imaging Mobile robots Robotics and automation Cameras object tracking Robustness Large-scale systems Lenses |
| Content Type | Text |
| Resource Type | Article |
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