On importance of interactions and context in human action recognition: Nataliya,,Shapovalova

Authors:
Wenjuan Gong;Marco Pedersoli;Francesc Xavier Roca;Jordi Gonzàlez
Affiliations:
Computer Science Department and Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain;Computer Science Department and Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain;Computer Science Department and Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain;Computer Science Department and Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
Venue:
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Year:
2011

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Abstract

This paper is focused on the automatic recognition of human events in static images. Popular techniques use knowledge of the human pose for inferring the action, and the most recent approaches tend to combine pose information with either knowledge of the scene or of the objects with which the human interacts. Our approach makes a step forward in this direction by combining the human pose with the scene in which the human is placed, together with the spatial relationships between humans and objects. Based on standard, simple descriptors like HOG and SIFT, recognition performance is enhanced when these three types of knowledge are taken into account. Results obtained in the PASCAL 2010 Action Recognition Dataset demonstrate that our technique reaches state-of-the-art results using simple descriptors and classifiers.