Abstract: A sensor system creates a sequence of depth images that are used to detect and track motion of objects within range of the sensor system. A reference image is created and updated based on a moving average (or other function) of a set of depth images. A new depth images is compared to the reference image to create a motion image, which is an image file (or other data structure) with data representing motion. The new depth image is also used to update the reference image. The data in the motion image is grouped and associated with one or more objects being tracked. The tracking of the objects is updated by the grouped data in the motion image. The new positions of the objects are used to update an application.

Abstract: A method of tracking a target includes receiving from a source a depth image of a scene including the human subject. The depth image includes a depth for each of a plurality of pixels. The method further includes identifying pixels of the depth image that belong to the human subject and deriving from the identified pixels of the depth image one or more machine readable data structures representing the human subject as a body model including a plurality of shapes.

Abstract: A method of tracking a target includes receiving from a source an observed depth image of a scene including the target. Each pixel of the observed depth image is labeled as either a foreground pixel belonging to the target or a background pixel not belonging to the target. Each foreground pixel is labeled with body part information indicating a likelihood that that foreground pixel belongs to one or more body parts of the target. The target is modeled with a skeleton including a plurality of skeletal points, each skeletal point including a three dimensional position derived from body part information of one or more foreground pixels.

Abstract: A system and method for tracking a tire through a retread process include various checkpoints with networked touch screen computers at each checkpoint. At certain inspection and repair checkpoints the touch screen computers display tire cross section images with multiple different regions. Selecting a region allows a technician to change injury or repair data associated with that region of the tire. The computer automatically checks entered information against customer retread specifications and alerts the technician if the tire does not fit the customer's requirements for repairing or retreading the tire.

Abstract: A web-based tire management system tracks both tire-related and vehicle-related information for multiple fleets and for multiple models and brands of tires to enable sophisticated analysis of tire-related issues to be performed on behalf of individual fleets, as well as for tire dealers and manufacturers.

Abstract: A sensor system creates a sequence of depth images that are used to detect and track motion of objects within range of the sensor system. A reference image is created and updated based on a moving average (or other function) of a set of depth images. A new depth images is compared to the reference image to create a motion image, which is an image file (or other data structure) with data representing motion. The new depth image is also used to update the reference image. The data in the motion image is grouped and associated with one or more objects being tracked. The tracking of the objects is updated by the grouped data in the motion image. The new positions of the objects are used to update an application.

Abstract: A method of tracking a target includes receiving from a source a depth image of a scene including the human subject. The depth image includes a depth for each of a plurality of pixels. The method further includes identifying pixels of the depth image that belong to the human subject and deriving from the identified pixels of the depth image one or more machine readable data structures representing the human subject as a body model including a plurality of shapes.

Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may also be removed to isolate one or more voxels associated with a foreground object such as a human target. A location or position of one or more extremities of the isolated human target may be determined and a model may be adjusted based on the location or position of the one or more extremities.

Abstract: A method of linking recognized emotions to non-visual representations includes receiving at a first location information corresponding to demonstrative behaviors of individuals. The behaviors of the individuals may be analyzed during a dynamic session, in which the information is used to determine emotional states of one or more of the individuals. The information about the emotional state may then be used at the first location to determine an action for improving the dynamic session.

Abstract: A system and method for servicing a caller at a contact center includes providing self-service menu options to the caller through an automated system, and determining a total time spent by the caller in the automated system. If the caller's attempts at self-service are unsuccessful, the caller is transferred out of the automated system and into a position of a wait queue, the position of the caller in the wait queue being determined based on a credit for the total time spent by the caller in the automated system. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: A sensor system creates a sequence of depth images that are used to detect and track motion of objects within range of the sensor system. A reference image is created and updated based on a moving average (or other function) of a set of depth images. A new depth images is compared to the reference image to create a motion image, which is an image file (or other data structure) with data representing motion. The new depth image is also used to update the reference image. The data in the motion image is grouped and associated with one or more objects being tracked. The tracking of the objects is updated by the grouped data in the motion image. The new positions of the objects are used to update an application. For example, a video game system will update the position of images displayed in the video based on the new positions of the objects. In one implementation, avatars can be moved based on movement of the user in front of a camera.

Abstract: A system and method for servicing a caller at a contact center includes prompting the caller for a password associated with a certificate of disability of the caller, then accessing a database that contains the certificate authenticating the password to retrieve information listed in the certificate. The certificate information includes a type of disability of the caller. Following authentication, the system provides a service response appropriate for the type of disability of the caller. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may also be removed to isolate one or more voxels associated with a foreground object such as a human target. A location or position of one or more extremities of the isolated human target may be determined and a model may be adjusted based on the location or position of the one or more extremities.

Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may then be discarded to isolate one or more voxels associated with a foreground object such as a human target and the isolated voxels associated with the foreground object may be processed.

Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may also be removed to isolate one or more voxels associated with a foreground object such as a human target. A location or position of one or more extremities of the isolated human target may then be determined.

Abstract: Systems, methods and computer readable media are disclosed for controlling perspective of a camera-controlled computer. A capture device captures user gestures and sends corresponding data to a recognizer engine. The recognizer engine analyzes the data with a plurality of filters, each filter corresponding to a gesture. Based on the output of those filters, a perspective control is determined, and a display device displays a new perspective corresponding to the perspective control.

Abstract: A method of tracking a target includes receiving from a source an observed depth image of a scene including the target. Each pixel of the observed depth image is labeled as either a foreground pixel belonging to the target or a background pixel not belonging to the target. Each foreground pixel is labeled with body part information indicating a likelihood that that foreground pixel belongs to one or more body parts of the target. The target is modeled with a skeleton including a plurality of skeletal points, each skeletal point including a three dimensional position derived from body part information of one or more foreground pixels.

Abstract: An improvement to a roadside sprayer fixates spray nozzles on a registration plate. The registration plate may include integral tabs depending on the application. Inclination of the tabs is adjustable to place streams and droplets in a desired swath coverage. With the nozzles rigidly mounted onto the plate, the entire plate is nutated. The use of the registration plate in a spray unit creates a uniform nutation among the nozzles, thereby reducing variability in droplet placement, and providing a more predictable spray from the nozzles. In other embodiments, the spray unit is utilized in a spray system adaptable to service vehicles, and may be utilized in conjunction with a vegetation engagement device, such as a cutter to engage multiple zones of a roadway right-of-way. Additionally, an improved spray unit includes an electromagnetic field and an attractor to generate plate motion.

Abstract: A template listing one or more associated tasks is distributed to one or more devices, each device having a respective user. A task is selectively designated as either shared or individual. When information indicating that an action associated with a particular task has been performed is received at a first one of the devices, the template is updated at the first device, and optionally at others of the devices to indicate to others of the users that the action has been performed. The associated action of a shared task is performed once for all users, and the associated action of an individual task is performed separately by one or more of the users. Task information is optionally communicated between a template on a particular one of the devices and a personal information manager of the respective user of a particular device.

Abstract: A method of linking recognized emotions to non-visual representations includes receiving at a first location information corresponding to demonstrative behaviors of individuals. The behaviors of the individuals may be analyzed during a dynamic session, in which the information is used to determine emotional states of one or more of the individuals. The information about the emotional state may then be used at the first location to determine an action for improving the dynamic session.