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Faculty Members

LU Xin
  • teacher__field_54

    Robotics

  • teacher__field_59

    Information

  • teacher__field_65

    Intelligence

LU Xin Assistant Professor

Course

  • Master's Program

    Computer Science and Intelligent Systems

  • Faculty

    Computer and Information Science

Degrees Obtained

  • Doctorate (Engineering) Field of Degree: Information Engineering

Fields of Research

  • Statistical pattern recognition
  • Multivariate time series analysis
  • Computer vision

Research Themes

Conducting research into robust tracking methods using stochastic analysis and developing new human-computer interfaces

When a computer is visually tracking a target object such as a car or a person, tracking performance deteriorates when the target makes a sudden change. To resolve this problem, I am conducting research into robust tracking methods using stochastic analysis and developing new human-computer interfaces. Specifically, I am engaged in developing a camera mouse with the same operability as a mouse cursor which functions by tracking the movement of the mouth and eyes using an inexpensive web camera alone. It enables physically disabled persons, for example to operate a computer.

Teaching Philosophy

I help create graduates who tackle global competition in order to build high-quality IT infrastructure in the age of big-data and meet the challenge of developing new theories and new technology based on that infrastructure.