This research features object recognition that exploits the context of object-action to enhance the recognition performance. We propose an efficient method that integrates human interaction with objects into object recognition using a Bayesian approach based on a simple probabilistic graph model. Experimental results show that our method of using the object-action context is quite effective for object recognition despite of large variation in the appearance of objects.
['Sungbaek Yoon', 'Seho Bae', 'Hanjae Park', 'Liu Hua', 'Zheng Ziqi', 'Juneho Yi']
Efficiently Exploiting the Context of Object-Action Context for Object Recognition