Commentary Paper on "Dynamic Models for People Detection and Tracking"

The paper presents an adaptive approach for person detection and tracking. The key feature of the proposed method is the ability to detect an object as a member of a generic class (in this case, a pedestrian) as it enters the scene, then dynamically build and maintain a model of its appearance that allows tracking of this specific instance of the class. Such an approach also addresses the problem of recognizing the object if it leaves and then re-enters the scene.