Stochastic noise tolerance: Enhanced full state observer vs. Kalman filter from video tracking perspective

摘要: A control-based full state observer scheme is explored for video target tracking application, and enhanced with a lowpass filter improving the precision, thus forming an Enhanced Full State Observer (EFSO). The whole design based on given lab-generated sequence motion of articulate target. To evaluate EFSO’s stochastic noise tolerance, Kalman Filter (KF) intentionally employed in same Gaussian white noises. comparison results indicate that, system noises certain statistics, proposed EFSO has its own resistance capacity that superior to KF more advantageous implementation.