Work in progress: Vision system II

The first attempt was to use Motion Detection Algorithms. Luckily, OpenCV has available implementations which you can find here. Detection is achieved using either the Lucas-Kanade algorithm or the Farnerback algorithm.

On the left, I have attached the result of the Farnerback algorithm, which sees better results overall than LK, but has the disadvantage of being very slow, since it relies on heavy computation. One solution for speedup was to use GPU programming.

Before actually doing this, I decided to have a look at other methods.


I started focusing only on skin detection, and not motion. One of the easiest ways of detecting the skin was to define a color range and then simply look for that color range in the frames.

As you can see, this approach is heavily dependent on lighting conditions and also background. For example, if wood material is present in the scene, then that also gets detected as skin, and represents a false positive.