Kim Steenstrup Pedersen

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Primære forskningsområder

Image Analysis, Computer Vision and Machine Learning

Undervisnings- og vejledningsområder

Current and future courses

Graduate:

• Statistical Methods for Machine Learning, Q3, 2011
• Advanced Topics in Data Modelling, Q4, 2011
• Statistical Methods for Machine Learning, Q3, 2010
• Advanced Topics in Data Modelling, Q4, 2010
• Robot Experimentarium, Q1, 2009
• Introductory Computational and Mathematical Modelling / eScience project, Project course, Odd quarters.
• Computational and Mathematical Modelling / eScience project seminar
• Artificial Intelligence, Q2 2007.

Bachelor:

• Object Oriented Programming and Design, Q2 2007.

Project supervision:

I currently supervise projects on topics within the fields of image analysis as well as computer vision as well as applications of machine learning mainly within image analysis, e-science related problems, and computer science.

Examples of projects include:

• Articulated figure tracking (Human motion modeling and tracking)
• Interest point detectors and descriptors
• Modeling of activation patterns in neuron cell networks
• Space science related projects such as: Automated analysis of Laser Induced Breakdown Spectroscopy (LIBS).
• Web page classification and inference of page relationships

Aktuel forskning

 My current research activities are centered around:

1. Modeling and tracking of human motion using computer vision techniques for 3D articulated figures tracking combined with advanced statistical models and machine learning techniques.
2. Theoretical foundations of interest points and image descriptors as well as potential applications within image analysis and computer vision.