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:
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:
A method and system are provided for analyzing occupancy in a space by automatically identifying a region of interest in the space based on image analysis and enabling different outputs based on detection of occupancy in the region of interest or outside it.
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 method and system are provided for computer vision based control of a device by obtaining an image via a camera, the camera in communication with a device; detecting in the image a user pointing at the camera; and controlling the device based on the detection of the user pointing at the camera.
Abstract:
A system and method for computer vision based tracking of a human form may include receiving a sequence of images, the images including at least one object having a shape of a human form. A first selected feature is tracked from within the human form shaped object. Shape recognition algorithms are applied at a suspected location of the human form shaped object in an image from the sequence of images to detect a shape of a human form in the image and a second feature from within the detected shape of the human form is then selected and tracked, thereby providing verification and updating of the location of the human form shaped object.
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 by applying computer vision algorithms; storing image related shape information of the identified object; obtaining a second frame comprising an image of the object within a field of view and identifying the object in the second frame by using the image related shape information from the first frame; and controlling the device based on the identification of the object.
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 are provided for analyzing occupancy in a space by automatically identifying a region of interest in the space based on image analysis and enabling different outputs based on detection of occupancy in the region of interest or outside it.