Object Tracking using Motion Estimation based on Block Matching Algorithm

Abstract

Object tracking and motion estimation are key components in large number of applications, ranging from the navigation of autonomous vehicles to video data compression. This object tracking uses the motion estimation for continuous tracking of distinctive features in a successive manner. This helps to detect the motion of features used in computing to detect the exact or appropriate solution by optimizing the block size. To obtain the better prediction quality by using variable size motion estimation, proposed a block matching algorithm for motion estimation, object tracking, and video data compression.