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A size and position invariant event-based human posture recognition algorithm

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A size and position invariant event-based human posture recognition algorithm

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dc.contributor.author Chen, Shoushun
dc.contributor.author Folowosele, Fopefolu
dc.contributor.author Kim, Dongsoo
dc.contributor.author Vogelstein, R. Jacob
dc.contributor.author Etienne-Cummings, Ralph
dc.contributor.author Culurciello, Eugenio
dc.date.accessioned 2010-08-31T01:07:41Z
dc.date.available 2010-08-31T01:07:41Z
dc.date.copyright 2008
dc.date.issued 2010-08-31T01:07:41Z
dc.identifier.citation Chen, S., Folowosele, F., Kim, D., Vogelstein, R. J., Etienne-Cummings, R., & Culurciello, E. (2008). A size and position invariant event-based human posture recognition algorithm. IEEE Biomedical Circuits and Systems Conference: Baltimore,MD,USA, (pp.285-288).
dc.identifier.uri http://hdl.handle.net/10220/6372
dc.description.abstract In this paper we report a size and position invariant human posture recognition algorithm. The algorithm employs a simplified line segment Hausdorff distance classification and uses projection histograms to achieve size and position invariance. Compared to other existing method utilizing line segment Hausdorff distance, the proposed algorithm reduces the computation complexity by 36000 times, for our test images. Combining bioinspired event-based image acquisition and hardware friendly feature extraction and classification algorithm will lead to a promising technology for use in wireless sensor network.
dc.format.extent 4 p.
dc.language.iso en
dc.rights © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
dc.subject DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
dc.title A size and position invariant event-based human posture recognition algorithm
dc.type Conference Paper
dc.contributor.conference IEEE Biomedical Circuits and Systems Conference (2008 : Baltimore, Maryland, US)
dc.contributor.school School of Electrical and Electronic Engineering
dc.identifier.doi http://dx.doi.org/10.1109/BIOCAS.2008.4696930
dc.description.version Published version

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