Context in object and action recognition

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Larry S. Davis' talk will cover recent work on the acquisition and application of contextual models for object and action recognition. For object recognition, I will discuss how fine grained contextual models that capture geometric and topological relations between objects in pictures can lead to significantly improved object recognition capabilities. Then, for action recognition, I will discuss the use of storylines, structured as AND/OR graphs, as contextual models to improve human action recognition in videos of American baseball plays. The research was done by my former Ph. D. student, Abhinav Gupta; the work on action recognition was performed jointly with Prof. Jianbo Shi of the University of Pennsylvania.

Mon, 03/05/2010 - 14:00
Main Lecture Room

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