An essential task in a video surveillance system is the detection of moving objects, such as a moving car in a highway or an intruder in a restricted area. One of the challenges of moving object detection is dealing with shadows of the moving objects. Shadows make objects seem larger than they are and complicate video surveillance because they are inconsistent and change over time as shown below, where blue pixels are detected shadow pixels. In this project, we will guide the team to implement a system to detect and remove object shadows. We will provide and train the student on a C++ image and video processing library, called CImg, that will be used to handle (e.g., read, write, âïï��ï��ïï��ï��) video frames. We will also explain techniques for shadow detection and removal so to develop the shadow remover system. Student Requirements: Student should have good knowledge in C++ OR good knowledge in Matlab.