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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Rapport
[Research Report] RR-7212, INRIA. 2010, pp.54
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https://hal.inria.fr/inria-00459653
Contributeur : Edmond Boyer <>
Soumis le : mercredi 24 février 2010 - 16:02:49
Dernière modification le : vendredi 24 novembre 2017 - 13:30:09
Document(s) archivé(s) le : vendredi 18 juin 2010 - 21:53:15

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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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