Human action recognition optimization based on evolutionary feature subset selection

Alexandros Andre Chaaraoui; Francisco Florez-Revuelta

doi:10.1145/2463372.2463529

Human action recognition optimization based on evolutionary feature subset selection

Alexandros Andre Chaaraoui
, Francisco Florez-Revuelta

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Published in: Blum, Christian (ed.) (2013) GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation. New York, NY: Association for Computing Machinery. pp. 1229-1236. ISBN 9781450319638 Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO) Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO)
DOIs	https://doi.org/10.1145/2463372.2463529
Publication status	Published - 9 Jul 2013
Externally published	Yes

Bibliographical note

Note: Published in: Blum, Christian (ed.) (2013) GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation. New York, NY: Association for Computing Machinery. pp. 1229-1236. ISBN 9781450319638

Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO)

Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO)

Keywords

Computer science and informatics
bag-of-key-poses
feature subset selection
genetic algorithm
human action recognition
multi-view recognition

Access to Document

10.1145/2463372.2463529

http://doi.acm.org/10.1145/2463372.2463529

Human action recognition optimization based on evolutionary feature subset selection
Chaaraoui, A. A. & Florez-Revuelta, F., 9 Jul 2013.
Research output: Contribution to conference › Paper › peer-review

Cite this

Chaaraoui, A. A., & Florez-Revuelta, F. (2013). Human action recognition optimization based on evolutionary feature subset selection. In Published in: Blum, Christian (ed.) (2013) GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation. New York, NY: Association for Computing Machinery. pp. 1229-1236. ISBN 9781450319638 Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO) Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO) https://doi.org/10.1145/2463372.2463529

Chaaraoui, Alexandros Andre ; Florez-Revuelta, Francisco. / Human action recognition optimization based on evolutionary feature subset selection. Published in: Blum, Christian (ed.) (2013) GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation. New York, NY: Association for Computing Machinery. pp. 1229-1236. ISBN 9781450319638 Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO) Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO). 2013.

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author = "Chaaraoui, \{Alexandros Andre\} and Francisco Florez-Revuelta",

note = "Note: Published in: Blum, Christian (ed.) (2013) GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation. New York, NY: Association for Computing Machinery. pp. 1229-1236. ISBN 9781450319638 Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO) Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO)",

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Chaaraoui, AA & Florez-Revuelta, F 2013, Human action recognition optimization based on evolutionary feature subset selection. in Published in: Blum, Christian (ed.) (2013) GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation. New York, NY: Association for Computing Machinery. pp. 1229-1236. ISBN 9781450319638 Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO) Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO). https://doi.org/10.1145/2463372.2463529

Human action recognition optimization based on evolutionary feature subset selection. / Chaaraoui, Alexandros Andre; Florez-Revuelta, Francisco.
Published in: Blum, Christian (ed.) (2013) GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation. New York, NY: Association for Computing Machinery. pp. 1229-1236. ISBN 9781450319638 Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO) Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO). 2013.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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M3 - Conference contribution

BT - Published in: Blum, Christian (ed.) (2013) GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation. New York, NY: Association for Computing Machinery. pp. 1229-1236. ISBN 9781450319638 Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO) Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO)

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Chaaraoui AA, Florez-Revuelta F. Human action recognition optimization based on evolutionary feature subset selection. In Published in: Blum, Christian (ed.) (2013) GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation. New York, NY: Association for Computing Machinery. pp. 1229-1236. ISBN 9781450319638 Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO) Organising Body: Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO). 2013 doi: 10.1145/2463372.2463529