Tracking has recently become one of the most interesting and most active research fields. Tracking object consists in estimating the state of the object in function of time. This operation is based on largely developed filtering techniques. It is possible to classify tracking into Single Object Tracking and Multiple Object Tracking. This paper discusses different methods of tracking a single object. The choice of the solution depends on the kinematics (movement/motion) of the object itself as well as sense or linearity. It also depends both on external noises (weather and lighting conditions, heat, vibrations, etc.) and internal noises (electric disturbance, moving electrons, quantification errors, etc.). For this reason, we will introduce several filters to better estimate the state of the object. Moreover, we will encode a single object tracking algorithms to track aerial maneuvering aircraft.