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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Teuliere, C. Eck, L. Marchand, E. |
| Copyright Year | 2011 |
| Description | Author affiliation: Université de Rennes 1, IRISA, INRIA, Lagadic Project, France (Marchand, E.) || CEA, LIST, Interactive Robotics Unit, 18 route du Panorama, BP6, Fontenay aux Roses, F- 92265 France (Teuliere, C.; Eck, L.) |
| Abstract | This paper proposes a vision-based algorithm to autonomously track and chase a moving target with a small-size flying UAV. The challenging constraints associated with the UAV flight led us to consider a density-based representation of the object to track. The proposed approach to estimate the target's position, orientation and scale, is built on a robust color-based tracker using a multi-part representation. This object tracker can handle large displacements, occlusions and account for some image noise due to partial loss of wireless video link, thanks to the use of a particle filter. The information obtained from the visual tracker is then used to control the position and yaw angle of the UAV in order to chase the target. A hierarchical control scheme is designed to achieve the tracking task. Experiments on a quad-rotor UAV following a small moving car are provided to validate the proposed approach. |
| Starting Page | 4929 |
| Ending Page | 4934 |
| File Size | 796087 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612844541 |
| ISSN | 21530858 |
| e-ISBN | 9781612844565 |
| DOI | 10.1109/IROS.2011.6094404 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Target tracking Histograms Image color analysis Robustness Cameras Visualization |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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