COMPUTER VISION GESTURE BASED CONTROL OF A DEVICE
1 Assignment
0 Petitions
Accused Products
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.
94 Citations
76 Claims
-
1-57. -57. (canceled)
-
58. 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 the 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 (59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72)
-
-
73. 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 the 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 (74, 75, 76)
-
Specification