Chapter 11: Learning for action-based scene understanding
Cornelia Fermüllera; Michael Maynordb aUniversity of Maryland, Institute for Advanced Computer Studies, Iribe Center for Computer Science and Engineering, College Park, MD, United StatesbUniversity of Maryland, Computer Science Department, Iribe Center for Computer Science and Engineering, College Park, MD, United States
Abstract
Action plays a central role in our lives and environments, yet most Computer Vision methods do not explicitly model action. In this chapter we outline an action-centric framework which spans multiple time scales and levels of abstraction, producing both action and scene interpretations constrained towards action consistency. At the lower level of the visual hierarchy ...
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