Mr Andrew Tzer-Yeu Chen

BE(Hons) in Computer Systems Engineering (First Class Honours), BCom in Marketing, Innovation and Entrepreneurship, PGCertCE in Commercialisation and Entrepreneurship

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Graduate Teaching Assistant
Doctoral Candidate - Doctor of Philosophy

Biography

PhD Candidate working in the field of embedded vision.

Computer vision has been an active research area for decades, but the majority of algorithm development has taken place in a theoretical context, with powerful desktop computers and no time limitations. In order to put these algorithms into the real world, we need to consider how to maintain high levels of accuracy in resource constrained and real-time environments. My research looks at embedded vision, implementing algorithms in computationally efficient ways so that standalone devices such as smart cameras can become part of the next generation of sensor systems.

Research | Current

  • Embedded Vision
  • Image Processing
  • Machine Learning
  • Robotics

Teaching | Current

  • COMPSYS201 - Fundamentals of Computer Engineering
  • COMPSYS302 - Software Design Practice
  • ELECTENG209 - Analogue and Digital Design

Past Courses

  • COMPSYS701 - Advanced Digital Design
  • COMPSYS704 - Advanced Embedded Systems
  • MECHENG223 - Machines and Mechanisms

Selected publications and creative works (Research Outputs)

  • Chen, A. T. Y., Fan, J., Biglari-Abhari, M., & Wang, K. I. K. (2018). A computationally efficient pipeline for camera-based indoor person tracking. International Conference Image and Vision Computing New Zealand. 10.1109/IVCNZ.2017.8402479
    Other University of Auckland co-authors: Morteza Biglari-Abhari, Kevin I-Kai Wang
  • Sherwin, T., Easte, M., Chen, A. T.-Y., Wang, K. I.-K., & Dai, W. (2018). A Single RF Emitter-Based Indoor Navigation Method for Autonomous Service Robots. Sensors (Basel, Switzerland), 18 (2).10.3390/s18020585
    Other University of Auckland co-authors: Kevin I-Kai Wang, Krystine Sherwin
  • Chen, A. T., Biglari-Abhari, M., & Wang, K. (2018). SuperBE: computationally light background estimation with superpixels. Journal of Real-Time Image Processing, 1-17. 10.1007/s11554-018-0750-7
    Other University of Auckland co-authors: Morteza Biglari-Abhari, Kevin I-Kai Wang
  • Salcic, Z., Atmojo, U. D., Park, H., Chen, A. T. Y., & Wang, K. I. K. (2017). A framework for designing dynamic and interoperable automation and robotics systems. Proceedings - 2017 IEEE 15th International Conference on Industrial Informatics, INDIN 2017. 10.1109/INDIN.2017.8104855
    Other University of Auckland co-authors: Zoran Salcic, Kevin I-Kai Wang
  • Salcic, Z., Dwi Atmojo, U., Park, H., Chen, A.-Y., & Wang, K.-K. (2017). Designing dynamic and collaborative automation and robotics software systems. IEEE Transactions on Industrial Informatics10.1109/TII.2017.2786280
    Other University of Auckland co-authors: Zoran Salcic, Kevin I-Kai Wang
  • Chen, A. T. Y., Biglari-Abhari, M., & Wang, K. I. K. (2017). Trusting the computer in computer vision: A privacy-affirming framework. 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 1360-1367. Honolulu, Hawaii, USA: IEEE Xplore. 10.1109/CVPRW.2017.178
    URL: http://hdl.handle.net/2292/35459
    Other University of Auckland co-authors: Morteza Biglari-Abhari, Kevin I-Kai Wang
  • Chen, A. T., Biglari-Abhari, M., Wang, K. I. K., Bouzerdoum, A., & Tivive, F. H. C. (2016). Hardware-Software Co-design for a Gender Recognition Embedded System. In H. Fujita, M. Ali, A. Selamat, A. Sasaki, M. Kurematsu (Eds.) Lecture Notes in Computer Science: Trends in Applied Knowledge-Based Systems and Data Science, 9799, 541-552. Morioka, Japan: Springer. 10.1007/978-3-319-42007-3_47
    URL: http://hdl.handle.net/2292/30560
    Other University of Auckland co-authors: Morteza Biglari-Abhari, Kevin I-Kai Wang
  • Chen, A. T. Y., & Wang, K. I. K. (2016). Computer Vision Based Chess Playing Capabilities for the Baxter Humanoid Robot. IEEE 2016 The 2nd International Conference on Control, Automation and Robotics (ICCAR 2016) Hong Kong: IEEE. Related URL.
    URL: http://hdl.handle.net/2292/28817
    Other University of Auckland co-authors: Kevin I-Kai Wang