Laboratuar hayvanlarının davranışlarının görü tabanlı çözümlenmesi: 3 Boyutlu gradyan tabanlı bir yaklaşım
dc.citation.epage | 76 | en_US |
dc.citation.spage | 73 | en_US |
dc.contributor.author | Sandıkçı, Selçuk | en_US |
dc.contributor.author | Duygulu-Şahin, Pınar | en_US |
dc.contributor.author | Özgüler, Arif Bülent | en_US |
dc.coverage.spatial | Antalya, Turkey | |
dc.date.accessioned | 2016-02-08T12:27:59Z | |
dc.date.available | 2016-02-08T12:27:59Z | |
dc.date.issued | 2009-04 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description | Date of Conference: 9-11 April 2009 | |
dc.description | Conference name: IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009 | |
dc.description.abstract | In pharmacological experiments behavior pattern of laboratory mice, which are under the influence of psychotherapeutic drugs, reveals important clues about effects of the drug. Behavior analysis of laboratory mice by video processing saves both time and labor. In this work a method which was previously used to recognize human behaviors is adapted to laboratory mice case. Method is based on fitting histograms of spatio-temporal gradients extracted from 3D space-time volumes to multidimensional statistical distributions and class(lj'ing according to distances between the distributions. In this work the method is tested on a common mice video dataset, compared to other methods in the literature and found to be successful. ©2009 IEEE. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:27:59Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2009 | en |
dc.identifier.doi | 10.1109/SIU.2009.5136335 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/28722 | en_US |
dc.language.iso | Turkish | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/SIU.2009.5136335 | en_US |
dc.source.title | IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009 | en_US |
dc.subject | 3-D space | en_US |
dc.subject | 3D gradients | en_US |
dc.subject | Behavior analysis | en_US |
dc.subject | Behavior patterns | en_US |
dc.subject | Data sets | en_US |
dc.subject | Human behaviors | en_US |
dc.subject | Laboratory animals | en_US |
dc.subject | Spatio-temporal gradients | en_US |
dc.subject | Statistical distribution | en_US |
dc.subject | Video processing | en_US |
dc.subject | Vision based | en_US |
dc.subject | Animals | en_US |
dc.subject | Signal processing | en_US |
dc.subject | Three dimensional | en_US |
dc.subject | Laboratories | en_US |
dc.title | Laboratuar hayvanlarının davranışlarının görü tabanlı çözümlenmesi: 3 Boyutlu gradyan tabanlı bir yaklaşım | en_US |
dc.title.alternative | Vision based behavior analysis of laboratory animals: A 3D gradient based approach | en_US |
dc.type | Conference Paper | en_US |
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