TrackingExample

This is a project demonstrating tracking of a marker consisting of 6 blobs placed on a black palette and drawing a virtual house on it. Detection of the marker and augmentation (drawing of the house) are done in real time. Image from almost any internet camera can be used. The program is using incremental tracking, in which the position of the marker in the previous frame is used to improve the detection.

The homography calculation needed for the augmentation can be performed using 4 different methods:
-Direct Linear Transform,
-basic OpenCV algorithm
-OpenCV RANSAC based algorithm
-OpenCV Least-Median based algorithm.

During the tracking it is possible to change the camera settings in real time (brightness, contrast, hue and saturation as well as the camera resolution).

The program detects the marker basing on the blob hue, minimal saturation and brightness (called value in HSV color space) as well as the palette maximal brightness.