Ecole d'ingénieur et centre de recherche en Sciences du numérique

Weight estimation from visual body appearance

Velardo, Carmelo; Dugelay, Jean-Luc

BTAS 2010, 4th IEEE International Conference on Biometrics: Theory, Applications and Systems, September 27-29, 2010, Washington DC, USA

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.

Document Doi Bibtex

Titre:Weight estimation from visual body appearance
Ville:Washington DC
Département:Sécurité numérique
Eurecom ref:3189
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Bibtex: @inproceedings{EURECOM+3189, doi = { }, year = {2010}, title = {{W}eight estimation from visual body appearance}, author = {{V}elardo, {C}armelo and {D}ugelay, {J}ean-{L}uc }, booktitle = {{BTAS} 2010, 4th {IEEE} {I}nternational {C}onference on {B}iometrics: {T}heory, {A}pplications and {S}ystems, {S}eptember 27-29, 2010, {W}ashington {DC}, {USA} }, address = {{W}ashington {DC}, {\'{E}}{TATS}-{UNIS}}, month = {09}, url = {} }
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