Please use this identifier to cite or link to this item:
https://rfos.fon.bg.ac.rs/handle/123456789/970Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Milovanović, Miloš | |
| dc.creator | Minović, Miroslav | |
| dc.creator | Starčević, Dušan | |
| dc.date.accessioned | 2023-05-12T10:32:20Z | - |
| dc.date.available | 2023-05-12T10:32:20Z | - |
| dc.date.issued | 2012 | |
| dc.identifier.uri | https://rfos.fon.bg.ac.rs/handle/123456789/970 | - |
| dc.description.abstract | This paper presents a new approach in human gait recognition. We use new Human Interaction Device Microsoft Kinect for acquisition of data from human walk. Data retrieved is then used to create a still image that will represent one sequence of human walk. Finally, Content Based Image Retrieval technologies are used for image comparison in order to complete the recognition process. Evaluation study is conducted in order to prove the concept and it provided some promising results. | en |
| dc.rights | restrictedAccess | |
| dc.source | 2012 20th Telecommunications Forum, TELFOR 2012 - Proceedings | |
| dc.subject | Kinect | en |
| dc.subject | Gait recognition | en |
| dc.subject | CBIR | en |
| dc.subject | biometrics | en |
| dc.title | New Gait Recognition Method Using Kinect Stick Figure and CBIR | en |
| dc.type | conferenceObject | |
| dc.rights.license | ARR | |
| dc.citation.epage | 1326 | |
| dc.citation.other | : 1323-1326 | |
| dc.citation.spage | 1323 | |
| dc.identifier.doi | 10.1109/TELFOR.2012.6419460 | |
| dc.identifier.rcub | conv_3249 | |
| dc.identifier.scopus | 2-s2.0-84874146029 | |
| dc.identifier.wos | 000316626800316 | |
| dc.type.version | publishedVersion | |
| item.cerifentitytype | Publications | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| item.openairetype | conferenceObject | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| Appears in Collections: | Radovi istraživača / Researchers’ publications | |
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