A Survey of Vision-Based Methods for Action Representation, Segmentation and Recognition

Daniel Weinland 1 Rémi Ronfard 2 Edmond Boyer 3
2 LEAR - Learning and recognition in vision
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
3 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : Action recognition has become a very important topic in computer vision, with many fundamental applications, in robotics, video surveillance, human computer interaction and multimedia retrieval among others. The number of works published is steadily increasing and action recognition is meanwhile presented with numerous publications at recent conferences. A large variety of approaches have been described. The purpose of this survey is to give an overview and categorization of the approaches used.
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Submitted on : Wednesday, February 24, 2010 - 4:02:49 PM
Last modification on : Monday, December 17, 2018 - 11:22:02 AM
Long-term archiving on : Friday, June 18, 2010 - 9:53:15 PM

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Daniel Weinland, Rémi Ronfard, Edmond Boyer. A Survey of Vision-Based Methods for Action Representation, Segmentation and Recognition. [Research Report] RR-7212, INRIA. 2010, pp.54. ⟨inria-00459653⟩

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