Facial features play a important role in developmen t of systems on computer vision for different applications such as: the huma n-computer interactive, facial expressions automatic recognition also identify fat igue in car drivers, within these systems, facial features tracking is a signif icant stages that need to be developed, Therefore, this paper focuses on review the different techniques for facial features tracking, such as model-free method s (Kalman filter, particle Filter, among other).