The standard graph cut technique is a robust method for globally optimal image
segmentations. However, because of its global nature, it is prone to capture outlying areas
similar to the object of interest. This paper proposes a novel method to constrain the
standard graph cut technique for tracking anywhere from one to several objects in regions of
interest. For each object, we introduce a pixel penalty based upon distance from a region of
interest and so segmentation is biased to remain in this area. Also, we employ a filter …

The standard graph cut technique is a robust method for globally optimal image
segmentations. However, because of its global nature, it is prone to capture outlying areas
similar to the object of interest. This paper proposes a novel method to constrain the
standard graph cut technique for tracking anywhere from one to several objects in regions of
interest. For each object, we introduce a pixel penalty based upon distance from a region of
interest and so segmentation is biased to remain in this area. Also, we employ a filter …