Abstract: Determining occupants' interactions in a space by applying a computer vision algorithm to track an occupant in a set of images of a space to obtain locations in the space of the occupant over time, where a history log of the occupant includes the locations of the occupant in the space over time is created and history logs of a plurality of occupants are compared to extract interaction points between the plurality of occupants.

Abstract: Embodiments of the invention relate to a method for determining that an object in a sequence of images is a human. The method may include the steps of detecting an object in a first image from the sequence of images and assigning a first score to the object. The object is tracked to a second image from the sequence of images and a second score is assigned to the object in the second image. The second score is compared to a threshold that is inversely related to the first score and a determination that the object in the second image is a human is made based on the comparison.

Abstract: An object is tracked in images of the space. A unique identification is assigned to the object and the uniquely identified object may then be located within the space based on the tracking of the object, without having to again uniquely identify the object.

Abstract: A method and system for detecting a person in an image of a space include determining a value of a parameter of an object in the image, wherein if the value exceeds a threshold the object is determined to be a person. If the object is located in a predetermined area in the image, then changing the threshold and determining that the object is a person based on the value of the parameter and the changed threshold.

Abstract: Determining occupants' interactions in a space by applying a computer vision algorithm to track an occupant in a set of images of a space to obtain locations in the space of the occupant over time, where a history log of the occupant includes the locations of the occupant in the space over time is created and history logs of a plurality of occupants are compared to extract interaction points between the plurality of occupants.

Abstract: A method and system for determining occupancy in a space, include determining presence of an occupant in a space based a signal from a PIR sensor monitoring the space and on analysis of an image of the space. Assigning different weights to the PIR signal and image analysis enables controlling a device in the space differently.

Abstract: A method and system for detecting occupancy in a space use computer vision techniques. In one embodiment an object is detected in an image of the space. If the object is detected in a first area of the image, a shape of the object is determined based on a first shape feature of the object and if the object is detected in a second area of the image, the shape of the object is determined based on a second shape feature of the object. The object may be determined to be an occupant based on the determined shape of the object.

Abstract: Calculating ambient light in a space by obtaining a top view image of the space from an array of pixels, and identifying an object in the image and assigning weights to pixels from the array of pixels based on locations of the pixels relative to the identified object in the image, where object may include a reflective surface, where ambient light in the space is calculated based on the weighted pixels.

Abstract: Determining occupancy in a space by detecting a suspected object in a first image of a space, creating a bounding shape around the suspected object in the image, the bounding shape being aligned towards the center of the image, tracking a selected feature from within the bonding shape, determining occupancy in the space based on the tracking, and controlling a device based on the occupancy determination.

Abstract: Methods and systems according to embodiments of the invention calculate ambient light in a space, where the method includes obtaining an image of the space from an array of pixels, defining a plurality of pixel groups in the image, calculating a representative pixel value for each of the pixel groups, and calculating ambient light in the space based on the pixels in the image, disregarding pixels from the pixel groups having the highest and lowest representative pixel values.

Abstract: A method and system for determining a location of an occupant in a space include detecting a shape of an occupant in an image of a space; determining a location of the occupant on a floor of the space in the image, based on the shape of the occupant; and transforming the location on the floor in the image to a location of the occupant on the floor in the space.

Abstract: A system and method for computer vision based tracking of a human form may include detecting a shape of an object in an image of a space and determining the probability of object having a human form shape based on movement of the object. If the probability of the object of being of a human form is above a predetermined threshold the object is tracked and if the probability is below the threshold then the tracking is terminated. Occupancy in the space may be determined based on the tracking of the object.

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 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: The invention relates to a system and method for computer vision based control of a device which includes, in one embodiment, obtaining a series of images of a field of view, the field of view including a user's hand; identifying a shape of the user's hand in an image from the series of images; identifying a location within the image of the user's hand in a pre-defined shape; and controlling the device based on an overlap of the location of the hand in the pre-defined and a location of an object in the image.

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: In the invention two consecutive movement paths are detected and displayed content may be manipulated based on the detection of the first movement path of the hand but once a first movement and a second movement path are detected manipulation of the displayed content by the second movement is prevented. Thus, detection of a pair of movement paths prevents unintentional activation of a device.

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 for computer vision based control of a device, the method comprising: obtaining a first frame comprising an image of an object within a field of view; identifying the object as a hand by applying computer vision algorithms; storing image related information of the identified hand; obtaining a second frame comprising an image of an object within a field of view and identifying the object in the second frame as a hand by using the stored information of the identified hand; and controlling the device based on the hand identified in the first and second frames.

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.