Estimating body related soft biometric traits in video frames
Soft biometrics can be used as a prescreening filter, either by using single trait or by combining several traits to aid the performance of recognition systems in an unobtrusive way. In many practical visual surveillance scenarios, facial information becomes difficult to be effectively constructed d...
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Hindawi Publishing Corporation
2023
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| _version_ | 1833410858166779904 |
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| author | Arigbabu O.A. Ahmad S.M.S. Adnan W.A.W. Yussof S. Iranmanesh V. Malallah F.L. |
| author2 | 56047591000 |
| author_facet | 56047591000 Arigbabu O.A. Ahmad S.M.S. Adnan W.A.W. Yussof S. Iranmanesh V. Malallah F.L. |
| author_sort | Arigbabu O.A. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Soft biometrics can be used as a prescreening filter, either by using single trait or by combining several traits to aid the performance of recognition systems in an unobtrusive way. In many practical visual surveillance scenarios, facial information becomes difficult to be effectively constructed due to several varying challenges. However, from distance the visual appearance of an object can be efficiently inferred, thereby providing the possibility of estimating body related information. This paper presents an approach for estimating body related soft biometrics; specifically we propose a new approach based on body measurement and artificial neural network for predicting body weight of subjects and incorporate the existing technique on single view metrology for height estimation in videos with low frame rate. Our evaluation on 1120 frame sets of 80 subjects from a newly compiled dataset shows that the mentioned soft biometric information of human subjects can be adequately predicted from set of frames. © 2014 Olasimbo Ayodeji Arigbabu et al. |
| format | Article |
| id | my.uniten.dspace-22073 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Hindawi Publishing Corporation |
| record_format | dspace |
| spelling | my.uniten.dspace-220732023-05-16T10:47:09Z Estimating body related soft biometric traits in video frames Arigbabu O.A. Ahmad S.M.S. Adnan W.A.W. Yussof S. Iranmanesh V. Malallah F.L. 56047591000 24721182400 6506665562 16023225600 56047920000 56102103900 Soft biometrics can be used as a prescreening filter, either by using single trait or by combining several traits to aid the performance of recognition systems in an unobtrusive way. In many practical visual surveillance scenarios, facial information becomes difficult to be effectively constructed due to several varying challenges. However, from distance the visual appearance of an object can be efficiently inferred, thereby providing the possibility of estimating body related information. This paper presents an approach for estimating body related soft biometrics; specifically we propose a new approach based on body measurement and artificial neural network for predicting body weight of subjects and incorporate the existing technique on single view metrology for height estimation in videos with low frame rate. Our evaluation on 1120 frame sets of 80 subjects from a newly compiled dataset shows that the mentioned soft biometric information of human subjects can be adequately predicted from set of frames. © 2014 Olasimbo Ayodeji Arigbabu et al. Final 2023-05-16T02:47:09Z 2023-05-16T02:47:09Z 2014 Article 10.1155/2014/460973 2-s2.0-84904682815 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904682815&doi=10.1155%2f2014%2f460973&partnerID=40&md5=dcf6e638ea6aa6b464adf10d8acba5fb https://irepository.uniten.edu.my/handle/123456789/22073 2014 460973 All Open Access, Gold, Green Hindawi Publishing Corporation Scopus |
| spellingShingle | Arigbabu O.A. Ahmad S.M.S. Adnan W.A.W. Yussof S. Iranmanesh V. Malallah F.L. Estimating body related soft biometric traits in video frames |
| title | Estimating body related soft biometric traits in video frames |
| title_full | Estimating body related soft biometric traits in video frames |
| title_fullStr | Estimating body related soft biometric traits in video frames |
| title_full_unstemmed | Estimating body related soft biometric traits in video frames |
| title_short | Estimating body related soft biometric traits in video frames |
| title_sort | estimating body related soft biometric traits in video frames |
| url_provider | http://dspace.uniten.edu.my/ |