Abstract: Methods and apparatuses for tracking objects comprise one or more optical sensors for capturing one or more images of a scene, wherein the one or more optical sensors capture a wide field of view and corresponding narrow field of view for the one or more images of a scene, a localization module, coupled to the one or more optical sensors for determining the location of the apparatus, and determining the location of one more objects in the one or more images based on the location of the apparatus and an augmented reality module, coupled to the localization module, for enhancing a view of the scene on a display based on the determined location of the one or more objects.

Abstract: Methods and apparatuses for tracking objects comprise one or more optical sensors for capturing one or more images of a scene, wherein the one or more optical sensors capture a wide field of view and corresponding narrow field of view for the one or more images of a scene, a localization module, coupled to the one or more optical sensors for determining the location of the apparatus, and determining the location of one more objects in the one or more images based on the location of the apparatus and an augmented reality module, coupled to the localization module, for enhancing a view of the scene on a display based on the determined location of the one or more objects.

Abstract: A computing system for virtual personal assistance includes technologies to, among other things, correlate an external representation of an object with a real world view of the object, display virtual elements on the external representation of the object and/or display virtual elements on the real world view of the object, to provide virtual personal assistance in a multi-step activity or another activity that involves the observation or handling of an object and a reference document.

Abstract: Methods and apparatuses for tracking objects comprise one or more optical sensors for capturing one or more images of a scene, wherein the one or more optical sensors capture a wide field of view and corresponding narrow field of view for the one or more mages of a scene, a localization module, coupled to the one or more optical sensors for determining the location of the apparatus, and determining the location of one more objects in the one or more images based on the location of the apparatus and an augmented reality module, coupled to the localization module, for enhancing a view of the scene on a display based on the determined location of the one or more objects.

Abstract: Methods and apparatuses for tracking objects comprise one or more optical sensors for capturing one or more images of a scene, wherein the one or more optical sensors capture a wide field of view and corresponding narrow field of view for the one or more images of a scene, a localization module, coupled to the one or more optical sensors for determining the location of the apparatus, and determining the location of one more objects in the one or more images based on the location of the apparatus and an augmented reality module, coupled to the localization module, for enhancing a view of the scene on a display based on the determined location of the one or more objects.

Abstract: The present invention relates to a system and method for detecting one or more targets belonging to a first class (e.g., moving and/or stationary people), from a moving platform in a 3D-rich environment. The framework described here is implemented using a number of monocular or stereo cameras distributed around the vehicle to provide 360 degrees coverage. Furthermore, the framework described here utilizes numerous filters to reduce the number of false positive identifications of the targets.

Abstract: An optical receiver is arranged at a location in a scene. The optical receiver includes a photo sensor configured to detect spatio-temporal modulated optical signals directed at the scene from a set of spatially dispersed optical transmitters, and to convert the optical signals from each of the optical transmitters to a corresponding electronic signal. The electronic signals can be analyzed to determine geometric properties of the location in the scene.

Abstract: The present invention relates to a system and method for detecting one or more targets belonging to a first class (e.g., moving and/or stationary people), from a moving platform in a 3D-rich environment. The framework described here is implemented using a number of monocular or stereo cameras distributed around the vehicle to provide 360 degrees coverage. Furthermore, the framework described here utilizes numerous filters to reduce the number of false positive identifications of the targets.

Abstract: An optical receiver is arranged at a location in a scene. The optical receiver includes a photo sensor configured to detect spatio-temporal modulated optical signals directed at the scene from a set of spatially dispersed optical transmitters, and to convert the optical signals from each of the optical transmitters to a corresponding electronic signal. The electronic signals can be analyzed to determine geometric properties of the location in the scene.

Abstract: Systems and methods for detecting a raw position on a surface pointed to by a user, observing motion in the raw position, filtering that motion to reduce perceived tremor, and presenting a marker on a surface at a smoothed position with the filtered motion are provided. Certain embodiments may include an infrared laser pointer, a position sensitive detector, a visible laser pointer, and a control system. Other embodiments may use a combined detector/highlighter, a combined detector/pointer, a registration mechanism, a projected marker, a separate pointing surface, a pointer that transmits mouse clicks, a pointer that modulates a laser to indicate mouse clicks, and/or a laser pointer with built-in tremor control. Any suitable filtering technique may be used to filter the detected tremor, including band pass filters, Kalman filters, and linear equalization filters.