Research on moving objects tracking based on kalman filter

Moving objects tracking is the important content in the field of computer vision and is also the basic for the constituent work such as behavior comprehension, etc.. Moving objects tracking has wide applications in many fields. This paper tracked the moving car and pedestrian at real time based on Kalman filter. Experiment results showed that the Kalman filter can accurately estimate parameters of the object,such as the next position and velocity etc., which will offer much more facilities to the followed works like correspondence matching and so on.