A method for tracking human motion in 3D real scenes by means of Kalman filtering is presented; it is based on the introduction of a suitable mathematical model for human body moving in a 3D scene and interacting with the surrounding environment. With respect to previous study, the developed refined static and dynamic models allow the system to get accuracy and robustness even in non-controlled real-life working conditions. The method can be used in surveillance systems devoted to assure people safety in public areas.
Human body modelling for people localization and tracking from real image sequences
REGAZZONI, CARLO
1995-01-01
Abstract
A method for tracking human motion in 3D real scenes by means of Kalman filtering is presented; it is based on the introduction of a suitable mathematical model for human body moving in a 3D scene and interacting with the surrounding environment. With respect to previous study, the developed refined static and dynamic models allow the system to get accuracy and robustness even in non-controlled real-life working conditions. The method can be used in surveillance systems devoted to assure people safety in public areas.
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