Human Tracking System

This paper presents a comprehensive framework for tracking coarse human model from sequences of synchronized monocular grayscale images in single or multiple camera coordinates. It demonstrates the feasibility of an end-to-end person tracking system using a unique combination of motion analysis from sequences of synchronized monocular grayscale images in different camera Coordinates and other existing techniques in motion detection, segmentation, and patter recognition. This human tracking is an important task in many vision applications. The main steps in video analysis are two: detection of interesting moving objects and tracking of such objects from frame to frame. In a similar vein, most tracking algorithms use pre-specified methods for preprocessing.