The Online Gait Measurement for the Audience-Participant Digital Entertainment

This paper presents a method to measure online the gait features from the gait silhouette images and reflect the gait features to CG characters for an audience-participation digital entertainment. First, both static and dynamic gait features are extracted from the silhouette images captured by the online gait measurement system with two cameras and a chroma-key background. Then, Standard Gait Models (SGMs) with various types of gait features are constructed and stored, which are composed of a pair of CG characters’ rendering parameters and synthesized silhouette images. Finally, blend ratios of the SGMs are estimated to minimize gait feature errors between the blended model and the online measurement. In an experiment, a gait database with 100 subjects is used for gait feature analysis and it is confirmed that the measured gait features are reflected to the CG character effectually.