Tracking Multiple Colored Blobs with a Moving Camera

Abstract

iately colored blobs (i.e. connected sets of colored pixels) are detected. A set of blob hypotheses that have been tracked up to the current time instant is also being maintained. The detected blobs, together with the blob hypotheses are then associated in time. The goal of this association is, on the one hand, to assign a new, unique label to each new blob that enters the camera's field of view for the first time, and on the other hand, to propagate in time the labels of already detected blobs. More details regarding the approach adopted towards solving the aforementioned subproblems can be found in [1]. The ability of the proposed tracker to adapt to any desired color distribution through training, makes it a building block that is well-suited to various applications that are in need of efficient and robust color tracking that is tolerant to illumination changes. For instance, the proposed method has been employed in tracking multiple skin-colored regions such as human hands and face