Video Processing to Identify a Mentally Retarded Peoples

Abstract

Video processing is an important situation for signal processing, which frequent service video filters and where the input and output signals are video streams or video files. Video Processing is a fragment or stand-alone element that provides video format adaptation. Video processing fragments are built into video apparatus such as video receivers and Blu-ray and DVD players. This paper easily finds the mental disorder people using video processing. Input video files are separated into the frames, Super pixel based Gaussian filters for separating the video backgrounds. The Partie mediod algorithm method is used for background separation is based upon the edge based detection, space signature, background frame differing. Motion detection and tracking to detect moving things over time using a camera have numerous applications. Detecting moving things in each frame. Associating the recognitions corresponding to the same thing over the interval. Analyzing the time the interval for motion detection using the local level set algorithm. We are performing an feature extraction from video by artificial neural network, to recognize the normal percentage and mental disorder percentage.