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A biologically inspired system for human posture recognition.

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A biologically inspired system for human posture recognition.

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dc.contributor.author Chen, Shoushun.
dc.contributor.author Akselrod, Polina.
dc.contributor.author Culurciello, Eugenio.
dc.date.accessioned 2010-08-30T04:24:45Z
dc.date.available 2010-08-30T04:24:45Z
dc.date.copyright 2009
dc.date.issued 2010-08-30T04:24:45Z
dc.identifier.citation Chen, S. S., Akselrod, P., & Culurciello, E. (2009). A biologically inspired system for human posture recognition. In proceedings of the IEEE Biomedical Circuits and Systems Conference: Beijing, China, (pp.113-116).
dc.identifier.uri http://hdl.handle.net/10220/6362
dc.description.abstract We present a biologically-motivated system to recognize human postures in realtime video sequences. The system employs event-based temporal difference image between video sequences as input and builds a network of bio-inspired Gaborlike filters to detect contours of the active object. The detected contours are organized into vectorial line segments. After feature extraction, a classifier based on simplified line segment Hausdorff distance combined with projection histograms is implemented to achieve size and position invariant recognition. 86% average recognition rate is achieved in the experiment. Compared to state-of-the art bio-inspired categorization methods shows great computational savings, and is an ideal candidate for hardware implementation with event-based circuits.
dc.format.extent 4 p.
dc.language.iso en
dc.rights © 2009 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::Electronic systems::Signal processing.
dc.title A biologically inspired system for human posture recognition.
dc.type Conference Paper
dc.contributor.conference IEEE Biomedical Circuits and Systems Conference (2009 : Beijing, China)
dc.contributor.school School of Electrical and Electronic Engineering
dc.identifier.doi http://dx.doi.org/10.1109/BIOCAS.2009.5372070
dc.description.version Published version

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