Weight estimation from visual body appearance

Weight is a biometric trait which has been already studied in both the forensic and medical domains. In many practical situations, such as videosurveillance, weight can provide useful information for re-identification purposes but needs to be estimated from visual appearance (images or video). In this work we study the feasibility of weight estimation from anthropométrie data directly accessible from the available image material. A model is retrieved via multiple regression analysis on a set of anthropométrie features. A large medical database is exploited for the model training, while its validation is performed both on ideal and realistic conditions. The performance analysis of our approach shows that under noisy data conditions the system provides accurate estimations, putting the basis for a future work towards an automatic weight estimation.