Abstract: Using geospatial context information in image processing is disclosed. Contextual information that identifies features in an area of earth is accessed. An image of the area of the earth is accessed. A mask is generated based on the contextual information. The mask spatially corresponds to the image and identifies at least one image portion of interest in the image and at least one image portion of non-interest in the image. The at least one image portion of interest is processed to detect a target depicted in the at least one image portion of interest.

Abstract: An in-vehicle camera obtains image frames of a scene surrounding an own vehicle on a roadway. An extracting section in a lane boundary line recognition device extracts white line candidates from the image frames. The white line candidates indicate a degree of probability of white lines on an own vehicle lane on the roadway and a white line of a branch road which branches from the roadway. A branch judgment section calculates a likelihood of the white line as the white line of the branch road, and judges whether or not the white line candidate is the white line of the branch road based on the calculated likelihood. The branch judgment section decreases the calculated likelihood when a recognizable distance of the lane boundary line candidate monotonically decreases in a predetermined number of the image frames.

Abstract: A computer-implemented method for entity detection is described. In one embodiment, an entity passing through a perimeter of a predefined area is detected via a camera. Upon detecting the entity passing through the perimeter of the predefined area, a type of the entity is classified from an image of the entity captured by the camera. Upon classifying the type of the entity, a feature of the entity is detected from the image of the entity. An identifier is assigned to the entity based on the type and the detected feature of the entity. The identifier distinguishes the entity from another entity of a same type.

Abstract: The present disclosure provides an apparatus for detecting placards in a captured image, comprising: input circuitry operable to receive the captured image; detector circuitry operable to detect placards in the captured image on a basis of a predetermined shape and/or color of the placards, the detector circuitry being operable to detect placards of a plurality of different shapes and/or colors; and counter circuitry operable to count a number of detected placards of each different shape and/or color.

Abstract: Methods, devices and systems for performing video content analysis to detect humans or other objects of interest a video image is disclosed. The detection of humans may be used to count a number of humans, to determine a location of each human and/or perform crowd analyses of monitored areas.

Abstract: An information processing apparatus includes circuitry configured to: control an imaging device to stop a first focus adjustment when a specific object is detected from a first image captured by the imaging device while the first focus adjustment is in execution, the first focus adjustment being performed at each first time interval by the imaging device, and control the imaging device to start a second focus adjustment when the specific object is not detected from a second image captured by the imaging device after the imaging device is controlled to stop the first focus adjustment.

Abstract: There is provided an imaging unit comprising at least one image sensor, a measuring instrument including at least one marker, a position computing unit, a determining unit, and an output controller, wherein the imaging unit is configured to acquire an image comprising a user and the marker, and provide the acquired image to the position computing unit, wherein the position computing unit is configured to compute a position of the marker with respect to the user based on the image provided by the imaging unit, and further provide the computed position to the determining unit, wherein the determining unit is configured to determine whether the computed position of the marker matches a retrieved measurement position, and further output the result of the determination to the output controller, and wherein the output controller is configured to provide an indication when the marker position matches the measurement position.

Abstract: In an information processing apparatus, an object recognition process is performed on each image of a multi-viewpoint image group based on focal length information and information about objects. Objects are specified in each image. A target object is determined based on relationship information indicating a relationship between the objects. An image that contains the determined target object is generated.

Abstract: A method for ascertaining a fluid-dynamic characteristic value of a resilient vascular tree, through which a fluid flows in a pulsating manner, is provided. At least one 2D projection, respectively, of the resilient vascular tree is generated by a projection device from different angles of projection, and a digital 3D reconstruction of the vascular tree is generated by an analysis device based on of the 2D projections. A geometry of at least one vessel of the resilient vascular tree is estimated based on the 3D reconstruction, and at least one fluid state in the resilient vascular tree is ascertained from the geometry and predetermined resilient properties of the resilient vascular tree. The at least one fluid-dynamic characteristic value is calculated as a function of the at least one fluid state.

Abstract: Among other things, one or more systems and/or techniques for identifying an occlusion region in an image representative of an object subjected to examination is provided for herein. Such systems and/or techniques may find particular application in the context of object recognition analysis. An image is generated of the object and an orientation of the object is determined from the image. Based upon the determined orientation of the object relative to the direction the object is translated during examination, one or more parameters utilized for segmenting a second image of the object, identifying features in the image, and/or determining if the image comprises an occlusion region may be adjusted. In this way, the parameters utilized may be a function of the determined orientation of the object, which may mitigate false positives of detected occlusion regions.

Abstract: A novel method of using optical flow algorithm that maximizes the benefit of optical flow synthetic frames while minimizing the associated computation cost is provided. When using optical flow to produce synthetic frames between two actual/recorded frames, the method computes a set of estimates of optical flows (or a flow estimate) between the two frames. These flow estimates are then used to compute all synthetic frames that are needed between the two actual frames by interpolation, which creates each synthetic frame based on its temporal distances from the pair of actual frames.

Abstract: A traffic lane marking recognition apparatus includes a candidate detecting unit, a gap detecting unit, and a recognition reducing unit. The candidate detecting unit detects a lane dividing line candidate which is a candidate for a lane dividing line that defines a traffic lane on a road, based on an image of the road captured by an on-board camera that is mounted in a vehicle. The gap detecting unit detects a gap included in the lane dividing line candidate detected by the candidate detecting unit. When the gap is detected by the gap detecting unit, the recognition reducing unit reduces a probability of recognition of the lane dividing line candidate as a lane dividing line to a first probability that is lower than the probability when the gap detecting unit does not detect the gap, in a region from the gap closest to the vehicle towards a direction away from the vehicle.

Abstract: A method for reconstructing high signal-to-noise ratio (SNR) magnetic resonance imaging (MRI) slices, including: receiving a thick MRI slice of bodily tissue acquired using a single MRI scan, wherein the thick slice has a high SNR; receiving two thin MRI slices of the bodily tissue acquired using a single MRI scan, wherein each of the two thin MRI slices has a low SNR; and reconstructing multiple high SNR thin slices of the bodily tissue using the thick slice and the two thin slices.

Abstract: Disclosed herein are an X-ray imaging apparatus and a method for the same. The X-ray imaging apparatus includes a kernel function setter configured to set a scatter kernel function in response to a scatter component included in first X-ray image data detected by an X-ray detector, and an image data corrector configured to generate second X-ray image data obtained by performing scatter correction on the first X-ray image data using the scatter kernel function and data consistency. According to the X-ray imaging apparatus and the control method for the same, scatter correction is performed by using data consistency so that accuracy of the scatter correction may be increased and an X-ray image may be generated based on the accuracy, thereby improving quality of the X-ray image.

Abstract: The X-ray CT apparatus includes an X-ray tube, a high-voltage power supply, an X-ray detector and a processing circuitry. The processing circuitry reconstructs, as a first image, any of a monochromatic X-ray image and a polychromatic X-ray image on a basis of pre-reconstruction data acquired by scanning an object, the polychromatic X-ray image being taken in a first X-ray energy band. The processing circuitry reconstructs, as a second image, a polychromatic X-ray image taken in a second X-ray energy band wider than the first X-ray energy band on a basis of a pre-reconstruction data acquired by scanning the object. The processing circuitry identifies an area of a correction target in the first image as a correction area. The processing circuitry corrects the correction area in the second image on a basis of the first image.

Abstract: A method for determining pore-space metrics for geological samples may include receiving an image of a geological sample, determining, via image processing, pore-space regions within the image of the geological sample, and measuring the pore-space regions to provide a pore-space metric for the geological sample. The method may also include determining a geo-mechanical property for the geological sample using the pore-space metric and adjusting a hydrocarbon recovery operation according to the pore-space metric or the geo-mechanical property. A corresponding system and apparatus are also disclosed herein.

Abstract: Pedestrian detection and counting for traffic intersection control analyzes characteristics of a field of view of a traffic detection zone to determine a location and size of a pedestrian area, and applies protocols for evaluating pixel content in the field of view to identify individual pedestrians. The location and size of a pedestrian area is determined based either on locations of vehicle and bicycle detection areas or on movement of various objects within the field of view. Automatic pedestrian speed calibration with a region of interest for pedestrian detection is accomplished using lane and other intersection markings in the field of view. Detection and counting further includes identifying a presence, volume, velocity and trajectory of pedestrians in the pedestrian area of the traffic detection zone.

Abstract: A vision system for a vehicle includes a forward viewing camera and an image processor operable to process image data captured by the camera. Responsive at least in part to processing of captured image data, lane markers of a road along which the vehicle is traveling are detected, other vehicles are detected, and road curvature of the road along which the vehicle is traveling is determined. The vehicle includes a global positioning system and a vehicle communication system operable for wireless communication with an external control located remote from the vehicle. The current geographic location of the vehicle and data derived from captured image data are wirelessly communicated to the external control. The received current geographic location and data are processed at the external control and information that is derived, at least in part, from such processing is wirelessly communicated from the external control to the equipped vehicle.

Abstract: Provided is a computer system and method for mapping a visual path. The method includes receiving one or more images included in a predefined area; receiving one or more parameters associated with the image; and integrating the images and parameters into a map of the predefined area to enable mapping the visual path through the predefined area in response to one or more input path parameters.

Abstract: A system for automated mosaic-based vector editing comprising a mosaic imaging server that assembles image tiles to form larger image mosaics while correcting the image tiles for tonality and other visual characteristics, a vector analysis server that analyzes vector information, a routing calculation server that calculates routes from the vector information, and a rendering engine that produces visualizations from the routing information, and a method for image mosaic creation and correction.