Image Segmentation For Object Detection on a Deeply Embedded Miniature Robot
A. Jungmann, T. Schierbaum, B. Kleinjohann, in: Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP), INSTICC PRESS, 2012, pp. 441–444.
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Conference Paper
| English
Author
Jungmann, Alexander;
Schierbaum, Thomas;
Kleinjohann, Bernd
Abstract
In this paper, an image segmentation approach for object detection on the miniature robot BeBot - a deeply embedded system - is presented. In order to enable the robot to detect and identify objects in its environment by means of its camera, an efficient image segmentation approach was developed. The fundamental algorithm bases on the region growing and region merging concept and identifies homogeneous regions consisting of adjacent pixels with similar color. By internally representing a contiguous block of pixels in terms of run-lengths, the computational effort of both the region growing and the region merging operation is minimized. Finally, for subsequent object detection processes, a region is efficiently translated into a statistically feature representation based on discretized moments.
Publishing Year
Proceedings Title
Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP)
Page
441-444
Conference
24. - 26. Feb. 2012 INSTICC, INSTICC PRESS
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Cite this
Jungmann A, Schierbaum T, Kleinjohann B. Image Segmentation For Object Detection on a Deeply Embedded Miniature Robot. In: Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP). INSTICC PRESS; 2012:441-444.
Jungmann, A., Schierbaum, T., & Kleinjohann, B. (2012). Image Segmentation For Object Detection on a Deeply Embedded Miniature Robot. Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP), 441–444.
@inproceedings{Jungmann_Schierbaum_Kleinjohann_2012, title={Image Segmentation For Object Detection on a Deeply Embedded Miniature Robot}, booktitle={Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP)}, publisher={ INSTICC PRESS}, author={Jungmann, Alexander and Schierbaum, Thomas and Kleinjohann, Bernd}, year={2012}, pages={441–444} }
Jungmann, Alexander, Thomas Schierbaum, and Bernd Kleinjohann. “Image Segmentation For Object Detection on a Deeply Embedded Miniature Robot.” In Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP), 441–44. INSTICC PRESS, 2012.
A. Jungmann, T. Schierbaum, and B. Kleinjohann, “Image Segmentation For Object Detection on a Deeply Embedded Miniature Robot,” in Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP), 2012, pp. 441–444.
Jungmann, Alexander, et al. “Image Segmentation For Object Detection on a Deeply Embedded Miniature Robot.” Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP), INSTICC PRESS, 2012, pp. 441–44.