Real Time Video Action Recognition
Computer Vision


Project Description:

This project implements an efficient method to tell what happens in a video sequence from only a couple of frames in real time. For the sake of instantaneity, we employ two types of computationally efficient but perceptually important features, optical flow and edge, to capture motion and shape/structure information in video sequences.

Project Goal:

In this project we will develop algorithm and create an application.

Project Details:
  1. Supervisor:
    Sasha Gilinsky

  2. Field:
    Computer Vision
  3. Requirements:
    Open mind & High engineering ability & High MATLAB skills
  4. Project status:
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