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Simulating actions for learning

Saade, Philippe and Joly, Philippe and Awada, Ali Simulating actions for learning. (2013) In: 11th International IEEE Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM 2013), 24 June 2013 - 26 June 2013 (Toulouse, France).

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Official URL: http://dx.doi.org/10.1109/ECMSM.2013.6648947

Abstract

This paper presents a novel approach for generating new actions to learn supervised algorithms such as the Adaboost in the context of human action recognition. Indeed, the learning process requires a large amount and variety of data. Our motivation in this work is to reduce the dependency on public databases and allow learning with small sets of actions. We overcome the problem of nondiscriminatory action datasets for action recognition by enlarging a set of actions performed by different persons in different ways and captured by a Kinect. We present a way to enlarge the originally captured dataset from a Kinect device or from simply annotated data. This is done by combining the extrema of the action sequences into intervals, creating random points within them, and adding certain variables to discriminate the samples. These actions are learned and tested with a late fusion Adaboost using simple features and a strong classifier for each joint. Finally, a confidence coefficient is calculated and used as input of a higher level Adaboost classifier.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of ECMSM 2013. Electronic ISBN: 978-1-4673-6298-6 The original PDF of the article can be found at: hhttp://ieeexplore.ieee.org/document/6648947/ Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-01712556
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Other partners > Lebanese University - LU (LEBANON)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:06 Feb 2018 10:58

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