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Weight is a biometric trait which has been already studied in both the forensic and medical domains. In many practical situations, such as video surveillance, weight can provide useful information for re - identification purposes but needs to be estimated from visual appearance (images or video). In this paper the authors study the feasibility of weight estimation from anthropometric data directly accessible from the available image material. A model is retrieved via multiple regression analysis on a set of anthropometric features. A large medical database is exploited for the model training, while its validation is performed both on ideal and realistic conditions.
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