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basic-video-processing

This is the code for an assignment for the course of Computer Vision. Various processing techniques were applied to a video. A link to the video can be found here: https://drive.google.com/file/d/1lYH2NPsuotl1S5miZXAQzNx1_j688Gss/view?usp=sharing

Techniques and transfroms:

  • Grayscale

  • Grabbing color in RGB color space

  • Grabbing color in HSV color space

  • Gaussian and bilateral filtering with different kernels

  • Dilation

  • Opening

  • Sobel edge detection with different parameters

  • Circle detection with Hough Transform

  • Template Matching

  • Grayscale likelihood map, with intensity values proportional to the likelihood that an item (the template) is in that position

  • Unblurring frames

  • Detect lines with Hough Transform

  • Detect Eyes (circle detection with Hough Transform)

  • Track ball based on color

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