Real time hand tracking, pose classification, and interface control
First Claim
Patent Images
1. A method of hand position detection, comprising:
- extracting, via an image processing module of an electronics device, a feature set associated with hand gesture detection and hand pose inference from at least one input image, the feature set including extracted image pyramids;
inferring a hand pose type using a trained multiclass support vector machine (SVM);
extracting pixel intensity or displacement features and scale invariant feature transforms (SIFT) features using the generated image pyramids; and
approximating the hand pose using inverse kinematics (IK) optimization.
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Abstract
A hand gesture from a camera input is detected using an image processing module of a consumer electronics device. The detected hand gesture is identified from a vocabulary of hand gestures. The electronics device is controlled in response to the identified hand gesture. This abstract is not to be considered limiting, since other embodiments may deviate from the features described in this abstract.
19 Citations
25 Claims
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1. A method of hand position detection, comprising:
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extracting, via an image processing module of an electronics device, a feature set associated with hand gesture detection and hand pose inference from at least one input image, the feature set including extracted image pyramids; inferring a hand pose type using a trained multiclass support vector machine (SVM); extracting pixel intensity or displacement features and scale invariant feature transforms (SIFT) features using the generated image pyramids; and approximating the hand pose using inverse kinematics (IK) optimization. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. An apparatus for hand position detection, comprising:
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a camera; and a processor programmed to; extract a feature set associated with hand gesture detection and hand pose inference from at least one input image received via the camera, the feature set including image pyramids; trigger scale invariant feature transforms (SIFT) feature extraction; calculate an optical flow path of a flock of features of the at least one input image; infer a hand pose type using a trained multiclass support vector machine (SVM); and approximate the hand pose using inverse kinematics (IK) optimization. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. An apparatus for hand position detection, comprising:
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a camera; and a processor programmed to; extract a feature set associated with hand gesture detection and hand pose inference from a plurality of input images received via the camera by tracking a region of interest (ROI) between subsequent video frames of the plurality of input images as a flock of features, triggering scale invariant feature transforms (SIFT) feature extraction, and calculating an optical flow path of the flock of features; infer a hand pose type using a trained multiclass support vector machine (SVM); and approximate the hand pose using inverse kinematics (IK) optimization.
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Specification