Fusion of static and dynamic body biometrics for gait recognition

• Published in: IEEE transactions on circuits and systems for video technology Vol. 14; no. 2; pp. 149 - 158
• Main Authors: Wang, L., Ning, H., Tan, T., Hu, W.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.02.2004; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; Artificial intelligence; Biometrics; Computer science; control theory; systems; Computer vision; Dynamical systems; Dynamics; Exact sciences and technology; Face recognition; Human; Humans; Image processing; Information analysis; Information, signal and communications theory; Legged locomotion; Mathematical models; Pattern recognition. Digital image processing. Computational geometry; Recognition; Shape; Signal processing; Studies; Surveillance; Telecommunications and information theory; Terrorism; Trajectory; Walking; Biometrics; Computer vision; Target tracking; Image recognition; gait recognition; Shape analysis; Gait; Identification; Pattern recognition; tracking; Index Terms-Biometrics; joint-angle trajectory; Procrustes shape analysis; Classification; Feature extraction

Vision-based human identification at a distance has recently gained growing interest from computer vision researchers. This paper describes a human recognition algorithm by combining static and dynamic body biometrics. For each sequence involving a walker, temporal pose changes of the segmented movi...