Estimating Body Related Soft Biometric Traits in Video Frames
Joint Authors
Iranmanesh, Vahab
Ahmad, Sharifah Mumtazah Syed
Adnan, Wan Azizun Wan
Yussof, Salman
Arigbabu, Olasimbo Ayodeji
Malallah, Fahad Layth
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-08
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Arigbabu, Olasimbo Ayodeji& Ahmad, Sharifah Mumtazah Syed& Adnan, Wan Azizun Wan& Yussof, Salman& Iranmanesh, Vahab& Malallah, Fahad Layth. 2014. Estimating Body Related Soft Biometric Traits in Video Frames. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1049702
Modern Language Association (MLA)
Arigbabu, Olasimbo Ayodeji…[et al.]. Estimating Body Related Soft Biometric Traits in Video Frames. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1049702
American Medical Association (AMA)
Arigbabu, Olasimbo Ayodeji& Ahmad, Sharifah Mumtazah Syed& Adnan, Wan Azizun Wan& Yussof, Salman& Iranmanesh, Vahab& Malallah, Fahad Layth. Estimating Body Related Soft Biometric Traits in Video Frames. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1049702
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049702