Our research interests in a broad sense are:

  • Computer Vision
  • Machine Learning
  • Image Processing
  • Human Computer Interaction
  • Elder Care Technology
  • For the research in computer vision, we focus on object detection, video surveillance, human activity analysis, and visual searching. For machine learning, we are currently interested in sparse coding, multiple instance learning, and transferred learning.


    We are the joint winner of the action recognition task in PASCAL VOC Challenge 2010
    Gizmag Software to detect objects inside videos
    Related Media Gallery for MU Research Leads to Improved Human, Object Detection Technology
    Science Blog
    Object-Detection Software to Enable Search Within Videos