When a tracked object is not occluded by others, it is easy to
recognize it in the next frame, because its position has not changed
excessively and can be predicted with techniques as the proposed
tracking method based on Kalman predictions and LSAP association.
However, if an object is in an occlusion situation, the methods
which are only based on the object position or direction are inadequate,
because, specially in long occlusions, the trajectory of an
object can be substantially altered.