Tracing of moving object in the sequence of image

Abstract

Real time object tracking is one important perception task in robotics is tracking objects using a camera. The goal of object tracking is to find an object’s location in consecutive video frames. Object tracking’s many obvious applications include perception and control for autonomous surveillance systems, identifying and neutralizing threats in missile defense, optimizing traffic control systems, and improving human-computer interaction. Many different algorithms have been proposed for object tracking, including mean-shift tracking, optical flow, and feature matching. Each algorithm has strengths in certain environments and weaknesses in others. I so much relished the learning and discovery opportunity afforded by using kalman filter on tracking objects by the sequence of image.