Kernel Subclass Support Vector Description for Face and Human Action Recognition

Vasileios Mygdalis; Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas

doi:10.1109/SPLIM.2016.7528409

Kernel Subclass Support Vector Description for Face and Human Action Recognition

Vasileios Mygdalis
, Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

6 Citations (Scopus)

403 Downloads (Pure)

Abstract

In this paper, we present the Kernel Subclass Support Vector Data Description classifier. We focus on face recognition and human action recognition applications, where we argue that sub-classes are formed within the training class. We modify the standard SVDD optimization problem, so that it exploits subclass information in its optimization process. We extend the proposed method to work in feature spaces of arbitrary dimensionality. We evaluate the proposed method in publicly available face recognition and human action recognition datasets. Experimental results have shown that increased performance can be obtained by employing the proposed method.

Original language	English
Title of host publication	2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016)
Subtitle of host publication	Proceedings of a meeting held 6-8 July 2016, Aalborg, Denmark
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	5
ISBN (Electronic)	9781467389174
ISBN (Print)	9781467389181
DOIs	https://doi.org/10.1109/SPLIM.2016.7528409
Publication status	Published - Aug 2016
Event	International Workshop on Sensing, Processing and Learning for Intelligent Machines - Aalborg, Denmark Duration: 6 Jul 2016 → 8 Jul 2016

Conference

Conference	International Workshop on Sensing, Processing and Learning for Intelligent Machines
Abbreviated title	SPLINE
Country/Territory	Denmark
City	Aalborg
Period	6/07/16 → 8/07/16

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10.1109/SPLIM.2016.7528409

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Mygdalis, V., Iosifidis, A., Tefas, A., & Pitas, I. (2016). Kernel Subclass Support Vector Description for Face and Human Action Recognition. In 2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016): Proceedings of a meeting held 6-8 July 2016, Aalborg, Denmark Article 7528409 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SPLIM.2016.7528409

Mygdalis, Vasileios ; Iosifidis, Alexandros ; Tefas, Anastasios et al. / Kernel Subclass Support Vector Description for Face and Human Action Recognition. 2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016): Proceedings of a meeting held 6-8 July 2016, Aalborg, Denmark. Institute of Electrical and Electronics Engineers (IEEE), 2016.

@inproceedings{54b36fe2d56c412e96b4f8d6639c9757,

title = "Kernel Subclass Support Vector Description for Face and Human Action Recognition",

abstract = "In this paper, we present the Kernel Subclass Support Vector Data Description classifier. We focus on face recognition and human action recognition applications, where we argue that sub-classes are formed within the training class. We modify the standard SVDD optimization problem, so that it exploits subclass information in its optimization process. We extend the proposed method to work in feature spaces of arbitrary dimensionality. We evaluate the proposed method in publicly available face recognition and human action recognition datasets. Experimental results have shown that increased performance can be obtained by employing the proposed method.",

author = "Vasileios Mygdalis and Alexandros Iosifidis and Anastasios Tefas and Ioannis Pitas",

year = "2016",

month = aug,

doi = "10.1109/SPLIM.2016.7528409",

language = "English",

isbn = "9781467389181",

booktitle = "2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "International Workshop on Sensing, Processing and Learning for Intelligent Machines, SPLINE ; Conference date: 06-07-2016 Through 08-07-2016",

}

Mygdalis, V, Iosifidis, A, Tefas, A & Pitas, I 2016, Kernel Subclass Support Vector Description for Face and Human Action Recognition. in 2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016): Proceedings of a meeting held 6-8 July 2016, Aalborg, Denmark., 7528409, Institute of Electrical and Electronics Engineers (IEEE), International Workshop on Sensing, Processing and Learning for Intelligent Machines, Aalborg, Denmark, 6/07/16. https://doi.org/10.1109/SPLIM.2016.7528409

Kernel Subclass Support Vector Description for Face and Human Action Recognition. / Mygdalis, Vasileios; Iosifidis, Alexandros; Tefas, Anastasios et al.
2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016): Proceedings of a meeting held 6-8 July 2016, Aalborg, Denmark. Institute of Electrical and Electronics Engineers (IEEE), 2016. 7528409.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Kernel Subclass Support Vector Description for Face and Human Action Recognition

AU - Mygdalis, Vasileios

AU - Iosifidis, Alexandros

AU - Tefas, Anastasios

AU - Pitas, Ioannis

PY - 2016/8

Y1 - 2016/8

N2 - In this paper, we present the Kernel Subclass Support Vector Data Description classifier. We focus on face recognition and human action recognition applications, where we argue that sub-classes are formed within the training class. We modify the standard SVDD optimization problem, so that it exploits subclass information in its optimization process. We extend the proposed method to work in feature spaces of arbitrary dimensionality. We evaluate the proposed method in publicly available face recognition and human action recognition datasets. Experimental results have shown that increased performance can be obtained by employing the proposed method.

AB - In this paper, we present the Kernel Subclass Support Vector Data Description classifier. We focus on face recognition and human action recognition applications, where we argue that sub-classes are formed within the training class. We modify the standard SVDD optimization problem, so that it exploits subclass information in its optimization process. We extend the proposed method to work in feature spaces of arbitrary dimensionality. We evaluate the proposed method in publicly available face recognition and human action recognition datasets. Experimental results have shown that increased performance can be obtained by employing the proposed method.

U2 - 10.1109/SPLIM.2016.7528409

DO - 10.1109/SPLIM.2016.7528409

M3 - Conference Contribution (Conference Proceeding)

SN - 9781467389181

BT - 2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - International Workshop on Sensing, Processing and Learning for Intelligent Machines

Y2 - 6 July 2016 through 8 July 2016

ER -

Mygdalis V, Iosifidis A, Tefas A, Pitas I. Kernel Subclass Support Vector Description for Face and Human Action Recognition. In 2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016): Proceedings of a meeting held 6-8 July 2016, Aalborg, Denmark. Institute of Electrical and Electronics Engineers (IEEE). 2016. 7528409 Epub 2016 Aug 4. doi: 10.1109/SPLIM.2016.7528409

Kernel Subclass Support Vector Description for Face and Human Action Recognition

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