Translator Disclaimer
18 March 2005 Human recognition by body shape features
Author Affiliations +
Proceedings Volume 5666, Human Vision and Electronic Imaging X; (2005)
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Non-invasive biometrics is of particular importance because of its application under surveillance environment. Although traditional research in this field is mostly focused on gait recognition, feature based on human body shape is one of the alternate choices we can rely on. Here we propose a body shape based identification system, trying to explore the its distinguishing power in biometrics. Robust image processing procedures such as Wiener filter are implemented to extract binary silhouettes from frontal-view human walking video. The Kalman filter, usually adopted as a powerful tool to facilitate tracking in computer vision applications, here functions as a reliable estimator to recover body shape information from the corrupted observations. The dynamically extracted static feature vectors are then compared to templates to achieve identification. We provide experimental results to demonstrate the performance of our system.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ming Du and Ling Guan "Human recognition by body shape features", Proc. SPIE 5666, Human Vision and Electronic Imaging X, (18 March 2005);

Back to Top