Object Tracking in Videos: Approaches and Issues
This work provides a review for researchers in computer vision, but it is incremental as it synthesizes existing methods without introducing new techniques.
The paper presents a taxonomy of object tracking algorithms based on tracked targets—points of interest, appearance, and silhouette—and analyzes their advantages and limitations to identify future directions in the field.
Mobile object tracking has an important role in the computer vision applications. In this paper, we use a tracked target-based taxonomy to present the object tracking algorithms. The tracked targets are divided into three categories: points of interest, appearance and silhouette of mobile objects. Advantages and limitations of the tracking approaches are also analyzed to find the future directions in the object tracking domain.