{"user_id":"21240","type":"conference","date_updated":"2022-01-06T06:57:16Z","title":"Image Segmentation For Object Detection on a Deeply Embedded Miniature Robot","status":"public","author":[{"first_name":"Alexander","last_name":"Jungmann","full_name":"Jungmann, Alexander"},{"full_name":"Schierbaum, Thomas","first_name":"Thomas","last_name":"Schierbaum"},{"last_name":"Kleinjohann","first_name":"Bernd","full_name":"Kleinjohann, Bernd"}],"page":"441-444","publication":"Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP)","publisher":" INSTICC PRESS","date_created":"2021-10-12T12:43:25Z","conference":{"name":"24. - 26. Feb. 2012 INSTICC, INSTICC PRESS"},"citation":{"bibtex":"@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} }","ama":"Jungmann A, Schierbaum T, Kleinjohann B. Image Segmentation For Object Detection on a Deeply Embedded Miniature Robot. In: <i>Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP)</i>.  INSTICC PRESS; 2012:441-444.","apa":"Jungmann, A., Schierbaum, T., &#38; Kleinjohann, B. (2012). Image Segmentation For Object Detection on a Deeply Embedded Miniature Robot. <i>Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP)</i>, 441–444.","ieee":"A. Jungmann, T. Schierbaum, and B. Kleinjohann, “Image Segmentation For Object Detection on a Deeply Embedded Miniature Robot,” in <i>Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP)</i>, 2012, pp. 441–444.","short":"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.","chicago":"Jungmann, Alexander, Thomas Schierbaum, and Bernd Kleinjohann. “Image Segmentation For Object Detection on a Deeply Embedded Miniature Robot.” In <i>Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP)</i>, 441–44.  INSTICC PRESS, 2012.","mla":"Jungmann, Alexander, et al. “Image Segmentation For Object Detection on a Deeply Embedded Miniature Robot.” <i>Proceedings of the Seventh International Conference on Computer Vision Theory and Applications (VISAPP)</i>,  INSTICC PRESS, 2012, pp. 441–44."},"abstract":[{"text":"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.\r\n","lang":"eng"}],"language":[{"iso":"eng"}],"_id":"26086","year":"2012","department":[{"_id":"672"}]}