| 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 |
