An apparatus and method for processing a captured image and, more particularly, for processing a captured image comprising a document. In one embodiment, an apparatus comprising a camera to capture documents is described. In another embodiment, a method for processing a captured image that includes a document comprises the steps of distinguishing an imaged document from its background, adjusting the captured image to reduce distortions created from use of a camera and properly orienting the document is described.

A computer-implemented user interface method and apparatus are disclosed. A user input signal corresponding to a drawn gesture is received and sampled. If the input signal is orientation invariant, the sampled, spaced points are rotated in accordance with an indicative angle to generate an input vector. If the input signal is orientation sensitive, the sampled, spaced points are rotated to align with a base orientation to generate the input vector. The gesture is recognized based on a comparison of the input vector to a plurality of templates.

An identification apparatus for identifying vehicles and/or vehicle components includes: an image signal receiving unit receiving from an image signal source an image signal containing image data of a vehicle and/or of at least one vehicle component; a memory unit storing data of vehicles and/or at least one vehicle component; a comparison unit comparing the image data received with image data of the data sets stored in the memory unit, and to identify those data sets which contain image data that match the received image data; and an image signal data generating unit which generate output image signal data for at least one output image, the output image signal data containing at least a portion of the received image data and data from the data sets stored in the memory unit which have been identified by the comparison unit.

A system including: (a) a network hub or port adapted to detect image files in transit according to their file designations; (b) an object detector configured to identify one or more regions of interest (ROI) in each image file as potentially containing an object of interest (OOI); (c) a feature analyzer adapted to express one or more General Classification Features (GCF) of each ROI as a vector; and (d) a decision module adapted accept or reject each ROI as containing said OOI based upon the one or more GCF vectors.

A system for the conversion of video from one frame rate to a different frame rate. The system includes the application of graphical element and text detection and processing in frame rate up conversion.

Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

An inspection method and system for inspecting whether there is any liquor in goods is provided. The method includes: acquiring a radiation image of goods being inspected; processing on the radiation image to obtain an ROI; inspecting on the ROI using a liquor goods inspection model to determine if the ROI of the radiation image contains liquor goods. The above solution performs liquor inspection on scanned images of goods, especially containers, so as to intelligently assist the image inspectors.

A surveying instrument includes: a survey system; an image sensing system, including first and second image sensing units, the second having an angle of view wider than that of the first; horizontal and vertical angle drivers to rotate the survey and image sensing systems around a surveying instrument vertical and horizontal axes, respectively; a data storage part; an angle detecting part; and a control unit to cause an image, based on image data the first or second generates after imaging, a design data object for showing the design data portion locations included in the image, and coordinate measurement point objects for showing the coordinate measurement points locations, to be surveyed, corresponding to the design data portion included in the image, to appear on a representation device in response to the design data stored in the data storage part and the detected angle.

Each of vehicles acquires its own position, and transmits an image of a nearby outside taken by an own camera and a piece of information of the own position. An information center communicatable wirelessly with the vehicles receives the images and the pieces of information of the vehicles' positions transmitted by the vehicles, and recognizes pieces of first character information appearing in the received images, respectively. Based on the received pieces of information of the vehicles' positions as well as at least either points of interest or areas stored as collection target information, the information center determines at least either points of interest or areas for the recognized pieces of first character information, respectively, and stores association information where the pieces of first character information are associated with the determined at least either points of interest or areas.

Information with respect to an embroidery frame and information with respect to a mark alignment region are acquired. The mark alignment region is displayed for guiding multiple marks that are provided to an embroidery frame in order to define an embroidery region in the embroidery frame. When the multiple marks thus displayed are all positioned within the mark alignment region, an image of the embroidery region is acquired. Image analysis is performed based on the information with respect to the embroidery frame thus acquired and the information with respect to the multiple corresponding marks within the acquired image. Subsequently, the embroidery region within the embroidery frame is determined based on the analysis result. This allows the embroidery region to be detected with high precision in a simple manner.