2. Stima dell'età e riconoscimento del genere a partire da immagini facciali

3. Introduction Main aim: estimation of gender and age from facial images. Several issues: facial expressions, inter-person variation, lighting variation, pose, occlusions, etc.

4. Developed Solution The solution we developed consists of the following steps: Face detection Image Alignment and Contrast Normalization Feature Extraction Age/Gender Classification CLBP_M CLBP_S CLBP_M … A. Torrisi, G. M. Farinella, G. Puglisi, S. Battiato, Selecting Discriminative CLBP Patterns for Age Estimation, In Proceedings of International Workshop on Video Analytics for Audience Measurement (VAAM), 2015

5. Applications: Electronic Customer Relationship Management: different groups of customers have different preferences and the information related to their age can be exploited to provide customized contents and services. Smart Surveillance: monitor minors on vine shop or trying to purchase tobacco Human-Computer Interaction

6. Contatti Prof. Giovanni Puglisi puglisi@unica.it http://people.unica.it/giovannipuglisi/