A Study and Analysis of Colour Space selection for Insignificant Shadow Detection

Though shadows provide realism to the scene, it is found to be problematic in many computer vision and cognitive science applications. Many researches are going on to detect and remove them significantly. There are variety of features that can be used for identifying shadows. This papers experiments the importance of Colour space selection to detect shadow from scenes and videos. Colour features can improve the performance of object tracking and scene understanding. Hence, several well known Colour spaces are experimented. From the outcome, the performance of shadow detection can be improved significantly through the appropriate Colour space selection strategy. The experimental results on real-time scenes show that proposed Colour space is efficient over other Colour spaces.