Real-time moving object detection and shadow removing in video surveillance

In automatic video monitoring, real-time detection and in particular shadow elimination are critical to the correct moving objects segmentation since they severely affect the surveillance process. In this study, we propose a fast and flexible approach of movement detection based on an adaptive background subtraction technique with an effective model of shadow elimination based on color constancy principle in RGB color space. The results show the robustness of the model and particularly its capacity to work in a completely autonomous way. As in any modular conceptions, the test of the real performances of an algorithm must be carried out in its global context; it's why a complete automatic monitoring system was elaborated. However, in this article the emphasis will be put on the detection part.