title: Estimating body related soft biometric traits in video frames.
abstract: 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.
authors.affiliation: Department of Computer and Communication Systems Engineering, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia.
authors.forename: Olasimbo Ayodeji
authors.initials: OA
authors.lastname: Arigbabu
authors.affiliation: Department of Computer and Communication Systems Engineering, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia.
authors.forename: Sharifah Mumtazah Syed
authors.initials: SM
authors.lastname: Ahmad
authors.affiliation: Department of Computer and Communication Systems Engineering, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia.
authors.forename: Wan Azizun Wan
authors.initials: WA
authors.lastname: Adnan
authors.affiliation: Department of Systems and Networking, Universiti Tenaga Nasional, Jalan IKRAM-Uniten, 43000 Kajang, Malaysia.
authors.forename: Salman
authors.initials: S
authors.lastname: Yussof
authors.affiliation: Department of Computer and Communication Systems Engineering, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia.
authors.forename: Vahab
authors.initials: V
authors.lastname: Iranmanesh
authors.affiliation: Department of Computer and Communication Systems Engineering, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia.
authors.forename: Fahad Layth
authors.initials: FL
authors.lastname: Malallah
mesh_terms: D056667:Biometric Identification / Q000379:methods*; D001837:Body Weights and Measures / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D012637:Security Measures; D014741:Video Recording