Tracking video objects in cluttered background

Abstract

We present an algorithm for tracking video objects which is based on a hybrid strategy. This strategy uses both object and region information to solve the correspondence problem. Low-level descriptors are exploited to track object's regions and to cope with track management issues. Appearance and disappearance of objects, splitting and partial occlusions are resolved through interactions between regions and objects. Experimental results demonstrate that this approach has the ability to deal with multiple deformable objects, whose shape varies over time. Furthermore, it is very simple, because the tracking is based on the descriptors, which represent a very compact piece of information about regions, and they are easy to define and track automatically. Finally, this procedure implicitly provides one with a description of the objects and their track, thus enabling indexing and manipulation of the video content.