Abstract: A method for multi-touch detection in a touch input device comprising a grid based sensor, the method comprises sampling outputs from a grid based sensor over a first stage of detection, selecting sensor lines based on the sampled outputs, scanning the selected sensor lines along one axis of the grid based sensor over a second stage of detection, and determining positions of user interaction based on outputs sampled in response to scanning the selected sensor lines during the second stage of detection.

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 for multi-touch detection in a touch input device comprising a grid based sensor, the method comprises sampling outputs from a grid based sensor over a first stage of detection, selecting sensor lines based on the sampled outputs, scanning the selected sensor lines along one axis of the grid based sensor over a second stage of detection, and determining positions of user interaction based on outputs sampled in response to scanning the selected sensor lines during the second stage of detection.

Abstract: A method for multi-touch detection in a touch input device comprising a grid based sensor, the method comprises sampling outputs from a grid based sensor over a first stage of detection, selecting sensor lines based on the sampled outputs, scanning the selected sensor lines along one axis of the grid based sensor over a second stage of detection, and determining positions of user interaction based on outputs sampled in response to scanning the selected sensor lines during the second stage of detection.

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.

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 for calculating color temperature of light in a space includes obtaining a top view image of the space from an array of pixels; determining an area in the image and assigning weights to pixels from the array of pixels based on locations of the pixels relative to the determined area in the image. Color temperature in the space can be calculated based on the weighted pixels and color of light in the space can be modulated based on the calculated color temperature.

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: Automatically managing space related resources by using a processor to detect an occupied work station in at least one image of a sequence of images of a space and outputting a signal based on the detection of the occupied work station.

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: A system for determining information regarding at least one object, comprising: a sensor sensitive to capacitive coupling; at least one object adapted to create a capacitive coupling with the sensor when at least one signal is input to the sensor; a detector adapted to measure at least one output signal of said sensor associated with the at least one object, wherein the output signal associated with the at least one object is an object information code.

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 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 for determining information regarding at least one object, comprising: a sensor sensitive to capacitive coupling; at least one object adapted to create a capacitive coupling with the sensor when at least one signal is input to the sensor; a detector adapted to measure at least one output signal of said sensor associated with the at least one object, wherein the output signal associated with the at least one object is an object information code.

Abstract: A method for multi-touch detection in a touch input device comprising a grid based sensor, the method comprises sampling outputs from a grid based sensor over a first stage of detection, selecting sensor lines based on the sampled outputs, scanning the selected sensor lines along one axis of the grid based sensor over a second stage of detection, and determining positions of user interaction based on outputs sampled in response to scanning the selected sensor lines during the second stage of detection.

Abstract: A method for noise reduction in a digitizer includes determining a location of a stylus with a known frequency of emission over a first sampling period, sampling output from a plurality of detecting elements over a second sampling period, identifying detecting elements with sampled output in the second sampling period above a defined threshold in a selected frequency, the selected frequency being close to but different than the known frequency of the stylus, selecting as a candidate carrier of mere noise a detecting element from the detecting elements identified that is spaced away from the determined location of the stylus, and reducing values of output sampled over the second sampling period from at least one other detecting element, in accordance with the output sampled over the second sampling period from the detecting element selected as the candidate carrier of mere noise.

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 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.