Abstract:
A system and method for computer vision based tracking of a hand may include receiving a sequence of images, the images including at least one object having a shape of a hand. A first selected feature is tracked from within the hand shaped object. Shape recognition algorithms are applied at a suspected location of the hand shaped object in an image from the sequence of images to detect a shape of a hand in the image and a second feature from within the detected shape of the hand is then selected and tracked, thereby providing verification and updating of the location of the hand shaped object.
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.
Abstract:
A method and system for computer vision based control of a device are provided in which a shape detection algorithm is applied on an image to identify in the image a finger positioned over or near a user's lips. A device may be controlled based on the detection of the shape, for example, a change of volume of an audio output of the device may be caused.
Abstract:
A method for computer vision based hand gesture device control, is provided. The method includes receiving a sequence of images of a field of view; applying a shape recognition algorithm on the sequence of images to detect a shape of a first posture of a hand; and generating a command to initiate device control based on the detection of the shape of the first posture of the hand.