Title :
Leveraging Cognitive Context for Object Recognition
Author :
Lawson, W. ; Hiatt, Laura ; Trafton, J. Gregory
Author_Institution :
Naval Res. Lab., Washington, DC, USA
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.
Keywords :
object recognition; visual databases; cognitive context leveraging; computational cognitive models; object database; object recognition; rich dynamic context; Context; Context modeling; Object recognition; Robots; Training; Visualization; Wires; ACT-R; Contextual Information; LVis; Neural Networks; Object Recognition;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on
Conference_Location :
Columbus, OH
DOI :
10.1109/CVPRW.2014.63
