Computer vision gesture based control of a device
First Claim
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1. A method for computer vision based hand gesture device control, the method comprisingreceiving a sequence of images of a field of view, said images comprising at least one object;
- detecting movement of the at least one object in the images, to define at least one moving object;
applying a shape recognition algorithm on the at least one moving object in each of at least two of the sequence of images, to obtain shape information;
performing a first stage determination that the at least one moving object is a user hand by determining that the movement of the at least one object is a movement in a predefined pattern;
performing a second stage determination that the at least one moving object is a user hand by combining the shape information from each of the at least two of the sequence of images to obtain a combined shape information, and determining that the combined shape information corresponds to a hand shape; and
subject to successful first and second stage determination, tracking the user hand to control the device.
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Abstract
A system and method are provided for controlling a device based on computer vision. Embodiments of the system and method of the invention are based on receiving a sequence of images of a field of view; detecting movement of at least one object in the images; applying a shape recognition algorithm on the at least one moving object; confirming that the object is a user hand by combining information from at least two images of the object; and tracking the object to control the device.
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19 Claims
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1. A method for computer vision based hand gesture device control, the method comprising
receiving a sequence of images of a field of view, said images comprising at least one object; -
detecting movement of the at least one object in the images, to define at least one moving object; applying a shape recognition algorithm on the at least one moving object in each of at least two of the sequence of images, to obtain shape information; performing a first stage determination that the at least one moving object is a user hand by determining that the movement of the at least one object is a movement in a predefined pattern; performing a second stage determination that the at least one moving object is a user hand by combining the shape information from each of the at least two of the sequence of images to obtain a combined shape information, and determining that the combined shape information corresponds to a hand shape; and subject to successful first and second stage determination, tracking the user hand to control the device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A system for user-device interaction, the system comprising:
an electronic device, an image sensor and a processor, the processor to; receive a sequence of images of a field of view; detect a movement of at least one moving object in the images, to define at least one moving object; apply a shape recognition algorithm on the at least one moving object in each of at least two of the sequence of images, to obtain shape information; perform a first stage determination that the at least one moving object is a user hand by determining that the movement of the at least one object is a movement in a predefined pattern; perform a confirmatory second stage determination that the at least one moving object is a user hand by combining the shape information from each of the at least two of the sequence of images to obtain a combined shape information dataset, and comparing the shape information dataset against a reference hand shape information dataset; and subject to successful first and second stage determination, track the object to control the device. - View Dependent Claims (17, 18, 19)
Specification