Book Recommendation Signage System Using Silhouette-Based Gait Classification

Abstract

A library creates new services for attracting library users continuously. This paper presents a new book recommendation digital signage system. The system classifies characteristics such as gender or age of a walking library user, and displays a recommended book on an LCD for him/her. A set of silhouette image sequence of a walker extracted from real-time video is used for classification with Support Vector Machine (SVM). Since a calculation amount of a silhouette-based classification method is less than a three-dimensional model-based classification, it is suitable for real-time classification. We design a classifier that has better performance by evaluating some parameters and image features for classification. Some experimental results reveal the validity and effectiveness of our proposed signage system.