ABSTRACT

Automated segmentation and tracking are two fundamental and, at the same time, highly challenging tasks in image analysis. Application areas are numerous: medical and biomedical image processing, industrial image analysis, earth sciences, geographical information services, forestry services, to name a few. Today’s satellite-based military applications also make use of these techniques for surveillance and knowing the whereabouts of a particular target. Several image segmentation and tracking methods have been proposed, and these have evolved greatly over the past few decades for several applications. Given an application, for a beginner, choosing appropriate segmentation or tracking methods from among several dozens of the available techniques could be a truly overwhelming task.