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 inter-actions between regions and objects. Experimental results demon-strate that this approach has the ability to deal with multiple de-formable 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 proce-dure implicitly provides one with a description of the objects and their track, thus enabling indexing and manipulation of the video content. Index Terms—Indexing, low level descriptors, object segmenta-tion, object tracking. I