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.