This paper presents an algorithm for detecting moving objects from a static background scene that contains shading and shadows using color images.
We develop a robust and efficiently computed background subtraction and shadow removal algorithm that is able to cope with local illumination changes, such as shadows and highlights, as well as global illumination changes. We have applied this method to real image sequences of both simple and complex scenes, obtaining good results in both cases. The results, which demonstrate the system's performance, and some speed up techniques we employed in our implementation are also shown.
- Background Suppression
- Shadow Detection
OpenCV Installation (Italian)
To configure OpenCV on Visual Studio click here.