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US 8,897,490 B2Granted
Vision-based user interface and related method
AssigneeArcSoft (Hangzhou) Multimedia Technology Co., Ltd.
InventorsZhiWei Zhang, JianFeng Li, Li Mei, Jin Wang
Life of this patent
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Abstract
A vision-based user interface includes an image input unit for capturing frame images, an image processor for recognizing a posture in at least one of the captured frame images, and generating a recognized gesture according to the posture, and a control unit for generating a control command corresponding to the recognized gesture.
Claims10
A vision-based user interface comprising:
- an image input unit for capturing frame images;
- an image processor for recognizing a posture in at least one of the captured frame images, and generating a recognized gesture according to the posture;
- the image processor comprising:
- a hand area localization unit for limiting range for recognizing the posture to a limited range of the at least one captured frame images;
- a feature extraction unit for obtaining candidate color blocks within the limited range, fitting the candidate color blocks into rectangular windows, and extracting variant features from each rectangular window;
- and
- a model matching unit for transferring the variant features into parallel classifiers to generate a matching calculation result, and determining each rectangular window to be a posture-containing window or a none window, wherein each parallel classifier has a pre-built model corresponding to at least one predefined posture;
- and
- a control unit for generating a control command corresponding to the recognized gesture.
6 more elements
A method of controlling a device according to a gesture, the gesture performed by a user, the method comprising:
- capturing frame images by an image input unit;
- limiting range for recognizing the posture to a limited range of the at least one captured frame images;
- obtaining candidate color blocks within the limited range;
- fitting the candidate color blocks into rectangular windows;
- extracting variant features from each rectangular window;
- transferring the variant features into parallel classifiers to generate a matching calculation result, wherein each parallel classifier has a pre-built model corresponding to at least one predefined posture;
- determining each rectangular window to be a posture-containing window or a none window;
- recognizing a posture in at least one of the captured frame images by an image processor;
- generating a recognized gesture according to the posture by the image processor;
- and
- generating a control command corresponding to the recognized gesture by a control unit.
8 more elements
Dependencies are inferred from the claim text.