Abstract:
Object tracking in computer vision refers to the task of
tracking individual moving objects accurately from one
frame to another in an image sequence. Several tracking
methods have been proposed in the recent literature
capable of coping with a certain degree of occlusions of
the objects. However, no comparative analysis of such
methods has been presented to date and both the expert
and the newcomer to this area may be confused about the
relative effectiveness of each method when compared
under the same level of complexity of the dynamic scene.
In order to fulfill this need, this paper proposes a set of
analysis criteria and provides a comparative review of the
main recent tracking methods, in particular with respect
to their capability of tracking objects under occlusions.
