2008 | OriginalPaper | Chapter
Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects
Authors : Hedvig Kjellström, Javier Romero, David Martínez, Danica Kragić
Published in: Computer Vision – ECCV 2008
Publisher: Springer Berlin Heidelberg
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The visual analysis of human manipulation actions is of interest for e.g. human-robot interaction applications where a robot learns how to perform a task by watching a human. In this paper, a method for
classifying manipulation actions in the context of the objects manipulated
, and
classifying objects in the context of the actions used to manipulate them
is presented. Hand and object features are extracted from the video sequence using a segmentation based approach. A shape based representation is used for both the hand and the object. Experiments show this representation suitable for representing generic shape classes. The action-object correlation over time is then modeled using conditional random fields. Experimental comparison show great improvement in classification rate when the action-object correlation is taken into account, compared to separate classification of manipulation actions and manipulated objects.