Detection and Monitoring of Real - time Moving Object using PCA with Window Sliding

Abstract

Moving object detection and tracking is commonly the primary step in applications like video surveillance. The main aim of project is moving object detection and tracking system with a static camera has been developed to estimate distance parameters propose a general moving object detection and tracking supported vision system using Principle component analysis and window sliding algorithm. This paper focuses on detection of moving objects in a very scene for instance moving people meeting one another, and tracking and detected objects as long as they stay within the scene. This can be done by Principle component analysis and window sliding algorithm with software and that could calculate distance, frame per time. This paper describes an algorithm to estimate moving object using image processing technique from the camera calibration parameter.