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International Conference on Genetic and Evolutionary Computing

GEC 2015: Genetic and Evolutionary Computing pp 233–242Cite as

Implementation of an FPGA-Based Vision Localization

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 388))

Abstract

The robotic version has been widely used in various industry motion control applications, such as object identification, target tracking or environment monitoring, and etc. This paper focuses on studying the real-time FPGA-based implementation of object tracking for a three axes robot. In this work, a unified FPGA implementation for both object identification and target tracking, including basic image processing, image display and target tracking control, is proposed. In addition, target tracking control method with Sobel filter on edge detection, region of interest and motion control. Experimental results show the effectiveness and versatile application ability of the implementation algorithm in target tracking control. Due the flexibility and speed of FPGA hardware, the generated tracking command can be running in very high precision and very high frequency.

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Author information

Authors and Affiliations

  1. Department of Computer Network and Engineering, Lunghwa University of Science and Technology, Taoyuan, Taiwan

    Wen-Yo Lee, Chen Bo-Jhih, Chiou-Yng Lee & Ti-Hung Chen

  2. Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

    Ching-Long Shih

  3. Chang Gung Memorial Hospital, Linkou, Taiwan

    Chieh-Tsai Wu

  4. Mechanical and System Research Laboratory, Industrial Technology Research Institute, Hsinchu, Taiwan

    Ya-Hui Tsai & Yi-Chih Fan

Authors
  1. Wen-Yo Lee
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  2. Chen Bo-Jhih
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  3. Chieh-Tsai Wu
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  4. Ching-Long Shih
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  5. Ya-Hui Tsai
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  6. Yi-Chih Fan
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  7. Chiou-Yng Lee
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  8. Ti-Hung Chen
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Corresponding author

Correspondence to Wen-Yo Lee .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Thi Thi Zin

  2. School of Computer Science and Tech..., Harbin Institute of Technology, Shenzhen Graduate School , Shenzhen, China

    Jerry Chun-Wei Lin

  3. College of Information Science and Engg, Fujian University of Technology, Fuzhou, China

    Jeng-Shyang Pan

  4. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Pyke Tin

  5. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Mitsuhiro Yokota

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© 2016 Springer International Publishing Switzerland

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Cite this paper

Lee, WY. et al. (2016). Implementation of an FPGA-Based Vision Localization. In: Zin, T., Lin, JW., Pan, JS., Tin, P., Yokota, M. (eds) Genetic and Evolutionary Computing. GEC 2015. Advances in Intelligent Systems and Computing, vol 388. Springer, Cham. https://doi.org/10.1007/978-3-319-23207-2_23

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  • DOI: https://doi.org/10.1007/978-3-319-23207-2_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23206-5

  • Online ISBN: 978-3-319-23207-2

  • eBook Packages: EngineeringEngineering (R0)

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