| dc.contributor.author | Tabb, Ken | |
| dc.contributor.author | Davey, N. | |
| dc.contributor.author | George, S. | |
| dc.contributor.author | Adams, R.G. | |
| dc.date.accessioned | 2008-02-05T12:12:16Z | |
| dc.date.available | 2008-02-05T12:12:16Z | |
| dc.date.issued | 1999 | |
| dc.identifier.citation | Tabb , K , Davey , N , George , S & Adams , R G 1999 , Human shape recognition from snakes using neural networks . in In: Procs 3rd Int Conf on Computational Intelligence and Multimedia Applications (ICCIMA'99) . Institute of Electrical and Electronics Engineers (IEEE) , pp. 292-296 . https://doi.org/10.1109/ICCIMA.1999.798545 | |
| dc.identifier.isbn | 0-7695-0300-4 | |
| dc.identifier.other | dspace: 2299/1563 | |
| dc.identifier.uri | http://hdl.handle.net/2299/1563 | |
| dc.description | 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.---- Copyright 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. --DOI : 10.1109/ICCIMA.1999.798545 | |
| dc.description.abstract | This paper documents experiments which have been carried out with several neural network systems designed to categorise pedestrian shapes from non-pedestrian shapes. Active Contour models (‘Snakes’) [1] have been used to obtain contours of pedestrians as they move around the visual field. Neural networks have then been trained on representations of these relaxed snakes. The neural network systems developed can successfully discriminate these contours based upon whether they are ‘pedestrian’ in shape or not. Results are presented along with a discussion of some of the system’s possible applications. | en |
| dc.format.extent | 60489 | |
| dc.language.iso | eng | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
| dc.relation.ispartof | In: Procs 3rd Int Conf on Computational Intelligence and Multimedia Applications (ICCIMA'99) | |
| dc.title | Human shape recognition from snakes using neural networks | en |
| dc.contributor.institution | Health and Human Sciences Central | |
| dc.contributor.institution | Science & Technology Research Institute | |
| dc.contributor.institution | School of Computer Science | |
| dc.contributor.institution | Centre for Computer Science and Informatics Research | |
| dc.contributor.institution | School of Physics, Engineering & Computer Science | |
| rioxxterms.versionofrecord | 10.1109/ICCIMA.1999.798545 | |
| rioxxterms.type | Other | |
| herts.preservation.rarelyaccessed | true | |
