Object Tracking using Proposed Framework of KalmanGuided Harmony Search Filter


In this paper an improvementon the harmony filter is done by adding the Kalman filter after the improvisation process, toguide the filter to reach the convergence state at the lowest possible number of iterations, which means more ability for tracking the moving objects in real time performance, which is a crucial factor in the multi object tracking applications.