• Simon Fraser University, Human Activity Recognition, Summer 2010
  • In this course a study on approaches to tackle the problem of human activity recognition is conducted. The grand goal in this area of computer vision is to build systems that can automatically find human figures in either images or video sequences and determine what action they are performing. The recognition of human figures and actions is an important problem, with many practical applications. This technology is directly applicable to human-computer interaction, image and video retrieval and search, security and surveillance, video motion capture and automated vehicle driver assistance systems.

    This seminar-style course is intended for students who wish to learn about the state of the art in vision-based human activity recognition. The major approaches in the literature are covered, for the most part by reading and discussing research papers. A background knowledge in computer vision and machine learning is needed to understand these papers.

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