Abstract: The position management device includes: a calculation unit that gives identification on an object being monitored to the object being monitored cyclically imaged, and calculates positional information of the object from an image of the object; a storage unit that associates the identification and an imaging time with the positional information, and stores these items; and a comparison unit that compares, with respect to the object, an absolute value of a difference between the positional information as of a current time and the positional information as of each of the imaging times one and two cycle(s) prior to the current time, as stored in the storage unit, with a predetermined reference value, and outputs the positional information as of the current time if the absolute value for at least one of the imaging times is less than the reference value.

Abstract: A vehicle system has a sensor array and a processing device. The sensor array includes a first group of sensors and a second group of sensors. The sensors of the first group are offset relative to the sensors in the second group. The processing device is configured to determine a general shape of an impact object based at least in part on signals received from the sensor array.

Abstract: A method, an apparatus, and a system label one or more parts of a spine in an image, in particular a computed tomography (CT) image, of a human or animal body, and in order to achieve a reliable spine labeling and a high throughput of images, match a model of a spine segment with segments of the spine in the image by starting matching the model of a spine segment with an initial segment of the spine in the image, wherein the initial segment of the spine in the image is located at an initial position along the spine in the image, and continue to match the model of a spine segment with one or more further segments of the spine in the image, wherein the further segments of the spine in the image are located at positions farther along the spine in the image.

Abstract: Systems and methods for detecting and picking up a waste receptacle, the system being mountable on a waste-collection vehicle, and including an arm for grasping the waste receptacle, a processor, a camera, a non-transitory computer-readable medium, and an arm-actuation module. The processor is configured for generating a pose candidate based on an image captured by the camera, verifying that the pose candidate matches a template representation stored on the medium, and calculating a location of the waste receptacle. The arm-actuation module can be configured to automatically move the arm in response to the calculated location, in order to grasp the waste receptacle, lift, and dump the waste receptacle into a waste-collection vehicle.

Abstract: An image processing circuit includes a determination unit configured to classify the input image data into a first image area being a gradation area, a second image area being a non-gradation area, or a third image area being an intermediate area between the gradation area and the non-gradation area; a first pixel interpolation unit configured to generate a first output pixel value interpolated by applying a theoretically calculated coefficient to a pixel value of the input image data; a second pixel interpolation unit configured to generate a second output pixel value interpolated by applying a coefficient obtained by learning to the pixel value of the input image data; and a mixing unit configured to output the first output pixel value, the second output pixel value, or a third output pixel value, obtained by processing the first and second output pixel values, according to a classification result of the determination unit.

Abstract: An information processing method, system and an electronic device are provided according to the embodiments of the disclosure, and applied to an electronic device having at least a first panel, with a first surface of the first panel being provided with a display unit and at least one image acquisition apparatus, where the at least one image acquisition apparatus is positioned below the display unit in the case that the first panel stands on a plane. After an image for a to-be-recognized object and the plane is acquired by the image acquisition apparatus, whether the object contacts the plane is determined based on the acquired image, and information about position change on the object is detected in the case that it is determined that the object contacts the plane.

Abstract: Provided are a method and apparatus for interpolating an image. The method includes: selecting a first filter, from among a plurality of different filters, for interpolating between pixel values of integer pixel units, according to an interpolation location; and generating at least one pixel value of at least one fractional pixel unit by interpolating between the pixel values of the integer pixel units by using the selected first filter.

Abstract: The sanitary management system S includes a plurality of portable communication terminal devices 10, a manager terminal device 20 and a server device 40. The server device 40: (1) extracts two or more feature values related to the color of each pixel constituting a culture medium image; (2) executes statistical analysis based on distribution of pixels of the culture medium image by using a coordinate system prescribed by the extracted two or more feature values of each pixel, and calculates a linear function prescribing relation of the two or more feature values in each pixel; and (3) detects the colonies in the culture medium image based on the calculated linear function and counts the number of colonies.

Abstract: The present invention relates to a recognition method and a recognition device for a sheet-type medium. The method comprises: step 1, collecting image information; step 2, splitting from the image information collected image information of an object-to-be-recognized; step 3, reconstructing image data of a feature area, extracting a feature on the reconstructed image data, and forming an eigenvector; and, step 4, sending the eigenvector into a standard data-trained classifier, and acquiring a recognition result. The method has an image reconstructed on the basis of feature area prior information, improves image quality, facilitates increased recognition accuracy, and, because only the image area that requires feature extraction is reconstructed, reduces storage space consumption. This not only saves large amounts of storage space and time and increases resource utilization rate, but also increases recognition accuracy and achieves an improved balance between resource and efficiency.

Abstract: A method of sensing depth using an infrared camera. In an example method, an infrared image of a scene is received from an infrared camera. The infrared image is applied to a trained machine learning component which uses the intensity of image elements to assign all or some of the image elements a depth value which represents the distance between the surface depicted by the image element and the infrared camera. In various examples, the machine line component comprises one or more random decision forests.

Abstract: A refrigerator according to one embodiment of the present invention includes: a memory for storing information on food stored in a storeroom; a weight detecting unit disposed in the storeroom for detecting the weight of the food in order to determine whether food is received or withdrawn; a controller for creating a request for confirmation information on the received or withdrawn food when the food is determined to have been received or withdrawn; a speech output unit for outputting the request created by the controller as speech; and a speech input unit for receiving the response to the output request as speech, wherein the controller analyzes the response and updates information on the food stored in the storeroom.

Abstract: During an analysis technique, the locations of a polyp candidate (and, more generally, a feature) in images of the colon acquired with different orientations of an individual are compared to determine if the polyp candidate is a true positive (an actual polyp) or a false positive (an artifact). In particular, the locations are compared for images when the individual is supine and prone. During this rotation by approximately 180° (and, more generally, a symmetry operation), an actual polyp is expected to also be rotated by approximately 180°. Consequently, the location change during the symmetry operation can be used to validate whether the polyp candidate is an actual polyp. Because the colon is a non-rigid object (with degrees of freedom including rotation, compression and expansion), reference markers (such as haustral folds) are used to assist in determining the location of the polyp candidate in the images acquired in the different orientations.

Abstract: There are provided an apparatus and a method for acquiring multi-parametric images from an MRI device. In one general aspect, the apparatus for acquiring multi-parametric images includes an image analyzer configured to determine a significance level of each of a plurality of multi-parametric images relating to a disease, and to determine an acquisition order of the multi-parametric images relating to the disease; and a model constructer configured to construct an acquisition model of the multi-parametric images based on the acquisition order and the multi-parametric images to be used in diagnosing the disease.

Abstract: An automatic or semiautomatic method of processing intravascular Optical Coherence Tomography (OCT) images, comprising: pre-processing the primary image by segmenting the guidewire in the lumen to exclude it from the image, determining whether the lumen is open or closed; if the lumen is determined to be closed, performing a first automatic lumen segmentation procedure on the pre-processed image to define a perimeter line of the lumen, corresponding to the inner edge of the vessel wall, and determine a centroid CL of the lumen area; if the lumen is determined not to be closed, sequentially performing an automatic lumen closing procedure on the pre-processed image, and a second automatic lumen segmentation procedure, to define a perimeter line of the lumen, corresponding to the inner edge of the vessel wall, and determine a centroid CL of the lumen area; automatically finding an outer edge of the vessel wall and defining a first region of interest ROI1 between the inner edge and the outer edge of the lumen; au

Abstract: It is an object to generate a desired composite image in which a motion area of a subject is correctly composited. A difference image between a base target and an aligned swap target is generated (S1021), and an extracted contour in the difference image is determined according to the active contour model (S1022). The inner area of the contour and the outer area of the contour are painted with different colors to be color-coded so as to generate a mask image for alpha blending (S1023). Using the mask image thus generated, the swap target that is aligned with respect to the base target is composited with the base target of the base image by alpha blending (S1024).

Abstract: This road environment recognition device is equipped with: a connecting line determination unit, which determines primary connecting lines indicating lane marks by setting candidate points at a position near a vehicle as starting points, and sequentially connecting two or more candidate points along a first direction, which is a direction away from the vehicle; and branch point determination unit, which determines whether a branch point exists on the primary connecting lines on the basis of the positional relationships between the primary connecting lines and a residual candidate point that does not form part of the primary connecting lines.

Abstract: Systems, methods, and computer program products for smart, automated capture of textual information using optical sensors of a mobile device are disclosed. The textual information is provided to a mobile application or workflow without requiring the user to manually enter or transfer the data without requiring user intervention such as a copy/paste operation. The capture and provision context-aware, and can normalize or validate the captured textual information prior to entry in the workflow or mobile application. Other information necessary by the workflow and available to the mobile device optical sensors may also be captured and provided, in a single automatic process. As a result, the overall process of capturing information from optical input using a mobile device is significantly simplified and improved in terms of accuracy of data transfer/entry, speed and efficiency of workflows, and user experience.

Abstract: The subject disclosure is directed towards obtaining relatively precise location data with respect to a mapped space, based upon depth camera coordinates, for tracking a user or other object within the space. Also described are usage scenarios and user experiences that are based upon the current location data.

Abstract: Provided is an image processing apparatus for detecting pedestrians. The image processing apparatus includes a lane detecting module configured to extract a lane coordinate value from an input image and a pedestrian detecting module configured to set, as a pedestrian region of interest (ROI), a region between a first line passing through ends of first left and right lanes and a second line passing through ends of second left and right lanes which are respectively disposed above the left and right lanes, and search for the pedestrian ROI by using a predetermined window to detect a pedestrian region having a pedestrian feature.

Abstract: An automated document processing machine may comprise an electro-mechanical transport subsystem configured to convey a document through the machine, and a camera arranged adjacent the transport and configured to capture an image of a front side of the document. A fingerprinting software component may be configured for processing the captured image of the document to create a unique digital fingerprint of the document based on the front side image, and a software interface may be configured for storing the digital fingerprint in a database of document identifiers in association with a unique alphanumeric identifier so that the document may be subsequently identified in a second processing machine that has access to the database. The digital fingerprint may be responsive to indicia that otherwise appears on the front side of the document, and may comprise data that identifies a document as being unique based on the front side indicia.