Padmavathi, GShanmugapriya, D2017-04-182017-04-182011https://ir.avinuty.ac.in/handle/avu/3233This paper presents a video-based vehicle identification system which consists of preprocessing, segmentation, object extraction, object tracking and vehicle classification. The linear and non-linear filtering teehniques are adopted here to filtering the video sequences for noise removal. Image filtering algorithms are applied on videos to remove the different types of noise that are either present in the video during capturing or injected in to the video during transmission. In this work the different filtering algorithms are adopted and the performances of the filters are eompared using Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE).