Context awareness for object detection

A wide range of algorithms have been proposed to detect objects in still images. However, most of the current approaches are purely based on local appearance and ignore the context in which these objects are embedded. This paper proposes a general approach to extract, learn and use contextual information from images to increase the performance of classical object detection methods. The important properties of the proposed approach are that it can be combined with any existing object detection method and it provides a general framework not limited to one specific object category.