Abstract: A system for analyzing scene traits in an object recognition ingestion ecosystem is presented. In some embodiment, a trait analysis engine analyzes a digital representation of a scene to derive one or more features. The features are compiled into sets of similar features with respect to a feature space. The engine attempts to discover which traits of the scene (e.g., temperature, lighting, gravity, etc.) can be used to distinguish the features for purposes of object recognition. When such distinguishing traits are found, an object recognition database is populated with object information, possibly indexed according to the similar features and their corresponding distinguishing traits.

Abstract: A method for detecting objects on a parking area for vehicles with the aid of image processing of images from at least two imaging sensors, detection ranges of the imaging sensors overlapping at least partially. The images of an imaging sensor whose image quality is limited by environmental conditions are weighted less strongly for the detection of objects on the parking area during image processing than images of an imaging sensor whose image quality is not limited by environmental conditions. A processing unit, a program, and an overall system for carrying out the method are also described.

Abstract: Provided is a method and apparatus for rendering a target fluid that include defining level-set information of fluid particles configuring a modeled target fluid. The level-set information comprises a shortest distance from a surface of the target fluid to the fluid particles. The method and apparatus are include discarding internal particles of the target fluid from the modeled target fluid based on the level-set information of the fluid particles, and calculating thickness information of the target fluid, from which the internal particles are discarded, based on depth information on the fluid particles. The target fluid is rendered based on the thickness information of the target fluid.

Abstract: A method for computing image-derived biomarkers includes receiving image data defining a three-dimensional image volume representative of an anatomical region of interest. Features characterizing local variations of intensity in the image data using an intensity model are identified. The features are used to perform one or more modeling computations directly on the image data to derive information related to a biomarker of interest.

Abstract: The disclosure includes a system and method for classifying conditions of a data stream of object information. An image recognition receives an image and identifies a plurality of objects from the image. The image recognition application generates a data stream including information about the plurality of objects. The image recognition application generates a score based on the information about the plurality of products, determines a condition from the data stream based on the score, and generates a suggestion based on the condition. The image recognition application further provides the suggestion to a user.

Abstract: An image processing apparatus includes an image obtaining unit to obtain a time-sequential image obtained in order of a start image, a plurality of intermediate images, and an end image. A route determining unit determines a route passing from the start to the end image via at least one of the plurality of intermediate images for the time-sequential image. An image selecting unit selects a plurality of first selection images from among the plurality of intermediate images. A conformity calculating unit calculates a first conformity based on image quality of the first selection image and a similarity between the start image and the first selection image, for each of the plurality of first selection images. A conformable image determining unit determines a first conformable image from among the plurality of first selection images on the basis of the first conformity corresponding to each of the plurality of first section images.

Abstract: An apparatus (MDS) and related method for image processing. The apparatus includes a multi-modal matcher (M). The matcher (M) operates to match a first reference (RF1) image against a stream (LF) of image frames (F1, F2). Once a match is found, the current reference image (RF1) is exchanged for a matching frame from the stream. The matcher (M) then attempts matching against subsequent frames in the stream by now using said matched frame as a new reference image. Once a further frame (Fm) is found that matches said new reference image, said further frame (Fm) is output as a best match.

Abstract: The embodiments relate to classifying and grouping images. Primary images and secondary images are created and stored. A preliminary relationship between the primary and secondary images is established. The primary image is compared with the secondary image to produce a relevance score. The relevance score is converted to a secondary image assignment, which includes selectively assigning the secondary image to a first group based on the relevance score.

Abstract: An image of a test receptacle is received, which includes a color of a reaction between a test substance and at least one reagent in the test receptacle, an alignment code having test receptacle identification information, and at least one color calibration block. An array of pixels of RGB values for each pixel in the image is collected. A captured color of the color calibration block is evaluated. An offset is determined for the captured color in the one color calibration block if the evaluation of at the color calibration block in the image determines that the captured color deviates from a baseline color. The offset is applied to each pixel in the image to correct the captured image. A colorimetric analysis is performed on the reaction between the test substance and the at least one reagent.

Abstract: A counterfeit identification performance attribute (SIPA) sensitivity to changes in resolution of the image for features of an image is determined. The CIPA sensitivity for the features is used to choose at least one feature to determine whether the image on a sample is a counterfeit.

Abstract: A system and method for tracking the growth of large-area wildland fires. The technique includes monitoring wind conditions in and around a wildfire using near-surface-sited sensors deployed by a high-altitude long-endurance (HALE) unmanned aerial vehicle (UAV), such as the Global Hawk. The deployed sensors measure a localized wind vector at multiple locations within and surrounding the wildfire, and transmit the wind data back to the UAV for relaying to a command center operated by fire management authorities, where the wind data are used to assist decision-making, including as input into wildfire growth prediction models. The sensors may provide additional data such as local altitude/elevation, pressure, temperature and relative humidity. The UAV may also carry sensors that provide additional data to be used by the fire management authorities or the wildfire growth prediction models—such as infrared images defining actively flaming areas, and visual images which indicate vegetation type and density.

Abstract: The invention is a system and method used for detection, analysis, and reporting on player metrics of a sporting event using video images. The main components of the invention are: grabbing a digital video image frame or grabbing an analog video image frame and converting the analog video image frame to a digital video image frame, extracting field of play markings from the video image frame(s) for use as image control points, creating a perspective projection registration model based upon the pairing of image control points with a set of user-defined control points representative of the field of play, extracting player image locations on each team from the video image frames, and applying the perspective projection transformation model to register participant image locations to their respective planimetric coordinate position on the user defined field of play.

Abstract: In one embodiment of the present invention, a graphics processing unit (GPU) is configured to detect an object in an image using a random forest classifier that includes multiple, identically structured decision trees. Notably, the application of each of the decision trees is independent of the application of the other decision trees. In operation, the GPU partitions the image into subsets of pixels, and associates an execution thread with each of the pixels in the subset of pixels. The GPU then causes each of the execution threads to apply the random forest classifier to the associated pixel, thereby determining a likelihood that the pixel corresponds to the object. Advantageously, such a distributed approach to object detection more fully leverages the parallel architecture of the parallel processing unit (PPU) than conventional approaches. In particular, the PPU performs object detection more efficiently using the random forest classifier than using a cascaded classifier.

Abstract: Methods and apparatuses for tracking and correlating particles include an optical detector that captures a first and a second image of the particles. A video detector is used to capture a plurality of video frames of the particles. The video detector captures the video frames of the particles at a rate faster than the rate at which images are captured by the optical detector to track the movement of particles. A first image position of a particle in the first image of the particles is identified, and then the first image position of the particle is correlated to a second image position of the particle in the second image using the plurality of video frames.

Abstract: Provided are a re-wandering detecting device and method. The method includes: detecting an object and positional information about the object from an input image; determining whether the object wanders based on the positional information about the object; in response to determining that the object wanders, determining whether the object re-wanders by determining whether a database stores information about an object identical to the object detected from the input image; and providing information about wandering of the object according to whether the object re-wanders.

Abstract: An image processing device and a radiography apparatus each include a pixel selection unit configured to select pixels of an image based on pixel values of pixels of the image obtained by capturing an image of a subject, and a subtraction processing unit configured to subtract, from the image, a line artifact extracted using a profile in predetermined direction and is based on the pixels selected by the pixel selection unit.

Abstract: In one embodiment, an X-ray CT apparatus includes an X-ray tube that radiates, an X-ray, a detector that outputs a plurality of pieces of pre-compression data on a basis of the X-ray first processing circuitry and second processing circuitry. The first processing circuitry groups the plurality of pieces of pre-compression data to generate grouped data corresponding to the pre-compression data in each group, and generates data for restoration for restoring the pre-compression data, wherein the first processing circuitry transmits the grouped data and the data for restoration to the second processing circuitry.

Abstract: A computer-implemented method for selecting representative frames for videos is provided. The method includes receiving a video and identifying a set of features for each of the frames of the video. The features including frame-based features and semantic features. The semantic features identifying likelihoods of semantic concepts being present as content in the frames of the video. A set of video segments for the video is subsequently generated. Each video segment includes a chronological subset of frames from the video and each frame is associated with at least one of the semantic features. The method generates a score for each frame of the subset of frames for each video segment based at least on the semantic features, and selecting a representative frame for each video segment based on the scores of the frames in the video segment. The representative frame represents and summarizes the video segment.

Abstract: A screen position sensing method in a multi display system, a content configuring method, a watermark image generating method for sensing a screen position, a server, and a display terminal are provided. A screen position sensing method in a multi display system performed by a sensing server may include receiving identification information of display terminals from a display server, receiving an image output by each of the display terminals from a camera, and determining a screen position of each of the display terminals based on a watermark included in the image of the display terminals and the received identification information.

Abstract: A method for improving image segmentation using a learning device including steps of: (a) if a training image is obtained, acquiring (2-K)th to (2-1)th feature maps through an encoding layer and a decoding layer, and acquiring 1st to Hth losses from the 1st to the Hth loss layers respectively corresponding to H feature maps, obtained from the H filters, among the (2-K)th to the (2-1)th feature maps; and (b) upon performing a backpropagation process, performing processes of allowing the (2-M)th filter to apply a convolution operation to (M?1)2-th adjusted feature map relayed from the (2-(M?1))th filter to obtain M1-th temporary feature map; relaying, to the (2-(M+1))th filter, M2-th adjusted feature map obtained by computing the Mth loss with the M1-th temporary feature map; and adjusting at least part of parameters of the (1-1)th to the (1-K)th filters and the (2-K)th to the (2-1)th filters.