Paper Title
Image Centroid Tracking Using Square Root Information Filter

Determination of a moving target’s position and velocity from a noisy time-series of images captured by imaging sensors constitute a classical statistical estimation problem. Often the covariance based centroid tracking Kalman filter (KF) is used for target tracking purpose. In this paper, the information based centroid tracking filter called square root information filter (SRIF) is presented for centroid tracking of a target. A MATLAB code for SRIF is developed. Some simulation results are presented. Keywords— Centroid tracking, information matrix, percentage fit error, root mean square error, SRIF