Detection of Objects Using Shadow Removal and Image Reconstruction

This project presents moving object detection based on background subtraction under complex wavelet transform domain for video surveillance system. The proposed approach has some advantages of background noise insensitiveness and invariant to varying illumination or lighting conditions. It also involves background updating model based on current frame and previous background frame pixels comparisons. The object detection also helps to track detected object using connected component analysis. The simulated result shows that used methodologies for effective object detection has better accuracy and with less processing time consumption rather than existing methods.