Method and apparatus for real-time gesture recognition

Computer graphics processing and selective visual display system – Display driving control circuitry – Controlling the condition of display elements

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345156, 345327, 382218, 382209, G06F 300, G06K 962

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active

060724943

ABSTRACT:
A system and method are disclosed for providing a gesture recognition system for recognizing gestures made by a moving subject within an image and performing an operation based on the semantic meaning of the gesture. A subject, such as a human being, enters the viewing field of a camera connected to a computer and performs a gesture, such as flapping of the arms. The gesture is then examined by the system one image frame at a time. Positional data is derived from the input frames and compared to data representing gestures already known to the system. The comparisons are done in real-time and the system can be trained to better recognize known gestures or to recognize new gestures. A frame of the input image containing the subject is obtained after a background image model has been created. An input frame is used to derive a frame data set that contains particular coordinates of the subject at a given moment in time. This series of frame data sets is examined to determine whether it conveys a gesture that is known to the system. If the subject gesture is recognizable to the system, an operation based on the semantic meaning of the gesture can be performed by a computer.

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A Model-Based Complex Background Gesture Recognition Sys. Author: Chung-Lin Huang; Ming-Shan Wu 5484042 Inspec Abstract # : B9703-6140C-083, C9703-5260B-040, IEEE, 1996.
Chung-Lin Huang and Ming-Shan Wu, A Model-based Complex Background Gesture Recognition System, IEEE, 1996, vol. 1, pp. 93-98, abstract.

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