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Video based Activity Recognition

Video based Activity Recognition

Objective Recognition and detection of human actions and complex interactions.
Description

Video based Activity Recognition


Goal:
Activity recognition becomes more important in scenarios like surveillance and human-computer interaction. The challenge lies especially in missing, erroneous and inaccurate annotations during training. The goal should apply machine learning techniques to overcome this problems.

Keywords:

  • Multi-Instance / Multi-Label Learning
  • Spatiotemporal Key-Points


Requirements:

  • Interest in Computer Vision
  • Interest in Machine Learning
  • C++ and/or Matlab
Team Computer Vision
Contact Mauthner Thomas, Roth Peter M.
Offered as Bachelor's thesis
Semester project
Master's thesis
Duration
2012-Sep
 - 
2013-Sep
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