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[citace_text] => BŘEZINA, T.; HADAŠ, Z.; SINGULE, V.; BLECHA, P. European Projects for Support of Mechatronic Fields at Brno University of Technology. In Proceedings of 13th international symposium on mechatronics, Mechatronika 2010. Trenčín: AD University of Trencin, 2010. p. 109-111. ISBN: 978-80-8075-476-1.
[citace_html] => BŘEZINA, T.; HADAŠ, Z.; SINGULE, V.; BLECHA, P. European Projects for Support of Mechatronic Fields at Brno University of Technology. In Proceedings of 13th international symposium on mechatronics, Mechatronika 2010. Trenčín: AD University of Trencin, 2010. p. 109-111. ISBN: 978-80-8075-476-1.
[citace_rtf] =>
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author="Tomáš {Březina} and Zdeněk {Hadaš} and Vladislav {Singule} and Petr {Blecha}",
title="European Projects for Support of Mechatronic Fields at Brno University of Technology",
booktitle="Proceedings of 13th international symposium on mechatronics, Mechatronika 2010",
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pages="109--111",
publisher="AD University of Trencin",
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booktitle="MENDEL 2013",
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[popis] => The paper presents a method of estimating the discrete probability distribution of a categorical variable from the observed values. Theoretical results for so-called line estimate were illustrated on specific examples.
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[citace_text] => LACINOVÁ, V.; KARPÍŠEK, Z. Line Estimate of Discrete Probability Distribution. Mendel Journal series, 2013, vol. 2013, no. 1, p. 412-415. ISSN: 1803-3814.
[citace_html] => LACINOVÁ, V.; KARPÍŠEK, Z. Line Estimate of Discrete Probability Distribution. Mendel Journal series, 2013, vol. 2013, no. 1, p. 412-415. ISSN: 1803-3814.
[citace_rtf] =>
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title="Line Estimate of Discrete Probability Distribution",
journal="Mendel Journal series",
year="2013",
volume="2013",
number="1",
pages="412--415",
issn="1803-3814"
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[nazev] => Real Time Object Tracking Based on Computer Vision
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[duvernost_udaju_id] => S
[popis] => This paper deals with the design of a software module for real time object tracking based on computer vision. An autonomous convoy task is the main purpose of the tracking system module. Each convoy unit/car must follow the trajectory of previous unit with respect of local neighborhood, which may include the dynamic obstacles. The presented paper is focused on the detection of previous unit position only. The nVidia Tegra 3 was used as a main computer vision platform, which can be applied in low power systems onboard of small autonomous robots.
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[ins_ts] => 2025-09-22
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[identifikator] => ISBN 978-3-319-02293-2
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[citace_text] => RŮŽIČKA, M.; MAŠEK, P. Real Time Object Tracking Based on Computer Vision. In Mechatronics 2013, Recent Technologycal and Scientific Advances. Switzerland: Springer International Publishing, 2013. p. 591-598. ISBN: 978-3-319-02293-2.
[citace_html] => RŮŽIČKA, M.; MAŠEK, P. Real Time Object Tracking Based on Computer Vision. In Mechatronics 2013, Recent Technologycal and Scientific Advances. Switzerland: Springer International Publishing, 2013. p. 591-598. ISBN: 978-3-319-02293-2.
[citace_rtf] =>
[citace_bibtex] => @inproceedings{BUT102351,
author="Michal {Růžička} and Petr {Mašek}",
title="Real Time Object Tracking Based on Computer Vision",
booktitle="Mechatronics 2013, Recent Technologycal and Scientific Advances",
year="2013",
pages="591--598",
publisher="Springer International Publishing",
address="Switzerland",
doi="10.1007/978-3-319-02294-9\{_}75",
isbn="978-3-319-02293-2"
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[poznamka_metriky] =>
[nazev_en] => Real Time Object Tracking Based on Computer Vision
[popis_en] => This paper deals with the design of a software module for real time object tracking based on computer vision. An autonomous convoy task is the main purpose of the tracking system module. Each convoy unit/car must follow the trajectory of previous unit with respect of local neighborhood, which may include the dynamic obstacles. The presented paper is focused on the detection of previous unit position only. The nVidia Tegra 3 was used as a main computer vision platform, which can be applied in low power systems onboard of small autonomous robots.
[klicova_slova_en] => Local binary patterns, Haar like features, Object tracking, Object recognition, Gentle AdaBoost, Semiautonomous convoy
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[ins_ts] => 2025-09-22
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[identifikator] => ISBN 978-3-319-02293-2
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[citace_text] => MAŠEK, P.; RŮŽIČKA, M. Human-Machine Interface for Mobile Robot Based on Natural Language Processing. In Mechatronics 2013, Recent Technologycal and Scientific Advances. Switzerland: Springer International Publishing, 2013. p. 583-590. ISBN: 978-3-319-02293-2.
[citace_html] => MAŠEK, P.; RŮŽIČKA, M. Human-Machine Interface for Mobile Robot Based on Natural Language Processing. In Mechatronics 2013, Recent Technologycal and Scientific Advances. Switzerland: Springer International Publishing, 2013. p. 583-590. ISBN: 978-3-319-02293-2.
[citace_rtf] =>
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author="Petr {Mašek} and Michal {Růžička}",
title="Human-Machine Interface for Mobile Robot Based on Natural Language Processing",
booktitle="Mechatronics 2013, Recent Technologycal and Scientific Advances",
year="2013",
pages="583--590",
publisher="Springer International Publishing",
address="Switzerland",
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[popis] => Knowledge of an impact of a linked mass on a behavior of machine tools is a useful guide for their designers. This paper demonstrates a general approach which leads to a set of locally optimal parameters of mass, whose connection to the machine consequently suppresses vibrations during machining. The approach is based on simulation modeling of mechatronic systems with flexible bodies. Obtained parameters can be structurally interpreted e.g. as damper or absorber for the needs of the design already in preproduction stages.
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title="Simulation Assessment of Suspension of Tool Vibrations during Machining",
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series="1",
pages="273--282",
publisher="Springer",
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title="Vibration Energy Harvester ESPOSA",
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series="1",
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title="Zařízení pro měření napětí, proudů a energie v třífázové síti",
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