Abstract: Embodiments relate to systems and methods of location determination based on images. Embodiments perform comparison of an input image to images in a library of reference background images using a background matching module to identify a matching image. Embodiments determine location associated with the input image based on the metadata associated with the matching background image.

Abstract: Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaming object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.

Abstract: Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaming object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.

Abstract: Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaming object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.

Abstract: Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaining object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.

Abstract: Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaming object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.

Abstract: The disclosure generally relates to systems and methods for monitoring urban areas or urban sensing. The disclosure also generally relates to sensing or monitoring platforms deployable in urban areas. The disclosure also generally relates to methods and systems for providing device networks in urban areas. Example embodiments include monitoring systems mounted or mountable on or in the top portions of poles so that camera sensors of the systems can be positioned to capture images of the urban areas. Example embodiments also relate to monitoring platforms including multiple such monitoring systems.

Abstract: Some embodiments relate to methods and systems for gaming monitoring. An example method comprises: receiving by a computing device a series of images and timestamp information of a capture time of each image in the series of images, wherein each image of the series of images is an image of a gaming environment; processing by the computing device a first image in the series of images to determine an event trigger indicator in the first image; identifying a gaming monitoring event based on the determined event trigger indicator; transmitting image data of the first image and images proximate to the first image in the series of images to an upstream computing device; wherein determining the event trigger indicator comprises detection of a first game object in the first image, wherein the first game object was not detected in an image captured prior to the first image in the series of images.

Abstract: Some embodiments relate to a system for automated gaming recognition, the system comprising: at least one image sensor configured to capture image frames of a field of view including; a table game; at least one depth sensor configured to capture depth of field images of the field of view; and a computing device configured to receive the image frames and the depth of field images, and configured to process the received image frames and depth of field images in order to produce an automated recognition of at least one gaining state appearing in the field of view. Embodiments also relate to methods and computer-readable media for automated gaming recognition. Further embodiments relate to methods and systems for monitoring game play and/or gaming events on a gaming table.

Abstract: A method for producing zeolite embedded polyolefin films for packaging polyurethane foams also embedded with zeolite.

Abstract: Embodiments relate to systems, methods and computer readable media for parking monitoring in an urban area by image processing operations. Embodiments perform parking monitoring by capturing images of an urban area, comparing captured images with reference images to determine location and parking conditions. Embodiments processes captured images to detect licence plates, vehicles or parking signs to determine compliance of vehicles with parking conditions.

Abstract: Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaming object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.

Abstract: Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaming object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.

Abstract: Embodiments relate to systems and methods for gaming monitoring. In particular, embodiments relate to systems and methods for gaming monitoring based on machine learning processes configured to analyse captured images to identify or detect game objects and game events to monitor games.

Abstract: Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaining object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.

Abstract: Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaming object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.

Abstract: Embodiments relate to systems, methods and computer readable media for parking monitoring in an urban area by image processing operations. Embodiments perform parking monitoring by capturing images of an urban area, comparing captured images with reference images to determine location and parking conditions. Embodiments processes captured images to detect licence plates, vehicles or parking signs to determine compliance of vehicles with parking conditions.

Abstract: Some embodiments relate to a system for automated gaming recognition, the system comprising: at least one image sensor configured to capture image frames of a field of view including a table game; at least one depth sensor configured to capture depth of field images of the field of view; and a computing device configured to receive the image frames and the depth of field images, and configured to process the received image frames and depth of field images in order to produce an automated recognition of at least one gaming state appearing in the field of view. Embodiments also relate to methods and computer-readable media for automated gaming recognition. Further embodiments relate to methods and systems for monitoring game play and/or gaming events on a gaming table.

Abstract: Embodiments relate to systems and methods for gaining monitoring. In particular, embodiments relate to systems and methods for gaining monitoring based on machine learning processes configured to analyse captured images to identify or detect game objects and game events to monitor games.

Abstract: Embodiments relate to systems and methods for gaming monitoring. In particular, embodiments relate to systems and methods for gaming monitoring based on machine learning processes configured to analyse captured images to identify or detect game objects and game events to monitor games.