Leveraging Cognitive Context for Object Recognition

Wallace E. Lawson, Laura M. Hiatt, J. Gregory Trafton

Abstract: Contextual information can greatly improve both the speed and accuracy of object recognition. Context is most often viewed as a static concept, learned from large image databases. We build upon this concept by exploring cognitive context, demonstrating how rich dynamic context provided by computational cognitive models can improve object recognition. We demonstrate the use cognitive context to improve recognition using a small database of objects.