Abstract: A system and method for the tracking of target objects in motion includes observing targets, determining, recursively, a target type of the targets, tracking, recursively, movements of the targets, and determining whether a target is concealed. The tracking and the determining whether a target is concealed are deployed in consideration of the target type of the targets.

Abstract: A method including acquiring a body cavity image and receiving first and second sets of mapping points from a probe inserted into the cavity. A first registration, having a first cumulative error value, is performed between the first set's mapping points and the image, each of the first set's mapping points having a respective first point error value, and a 3D anatomical map is generated including the first set's mapping points whose respective first point error values are less than a specified threshold. A second registration is performed between the received mapping points and the image, each of the received mapping points having a respective second point error value, the second registration having a second cumulative error value lower than the first cumulative error value, and an updated 3D anatomical map is generated including the received mapping points whose respective second point error values are less than the specified threshold.

Abstract: A spatial prediction method capable of reducing the complexity of spatial prediction includes: detecting an edge (E) overlapping the current block by obtaining a horizontal gradient (Gy) and a vertical gradient (Gx) between pixels within a block adjacent to the current block; calculating an integer slope of the edge; determining, for each pixel position within the current block, a sub-pel position being an intersection between (i) a line that has the integer slope and passes through the pixel position and (ii) a boundary of the adjacent block; and predicting, for each pixel position, a pixel value at the pixel position based on a pixel value interpolated in the sub-pel position, wherein the boundary of the adjacent block is a row or a column that is the closest to the current block, among rows or columns of pixels included in the adjacent block.

Abstract: The subject matter of this specification can be implemented in, among other things, a method that includes identifying edges of a section of a document in a source image that includes at least one row of text. The method includes identifying characters in the document. The method includes identifying word portions. The method includes generating polynomials that approximate points of the characters within the word portions. The method includes generating a second polynomial that approximates the points of the characters of word portions. The method includes identifying a stretching coefficient of the row of text based on a length of the section between the edges relative to a length of the second polynomial. The method includes mapping portions of the source image along the row of text to new positions in a corrected image based on the second polynomial and the stretching coefficient.

Abstract: A system for enhancing an image includes a cadence detection process that detects a cadence of a series of frames, a scene cut detection process that detects a scene cut of the series of frames, and a noise monitoring process that detects noise in the series of frames based upon the cadence detection process. The system also includes a temporal filtering process temporally filtering the series of frames wherein the temporal filtering is modified based upon the scene cut detection process and the noise monitoring process, and a spatial noise reduction process reducing spatial noise in the series of frames wherein the reducing spatial noise is modified based upon the modified temporally filtered frames and the noise monitoring process.

Abstract: A method and system for processing digital image data taken from a three-dimensional topographic area including terrain and a right of way including a first and a second object to establish a clearance surface to define clearance violations within a boundary area. Waypoints are located to define a centerline and the boundary area to be analyzed. Vegetation coordinate points in the scene are determined from the digital image data. Ground coordinate points are determined from the digital image data. A clearance surface segment is constructed within the boundary area between the first and second object. The clearance surface is determined from the location of the first and second object and clearance criteria. The clearance surface is used to define a violation region.

Abstract: The systems, methods, and devices described herein generally relate to achieving accurate and robust motion correction by detecting and accounting for false movements in motion correction systems used in conjunction with medical imaging and/or therapeutic systems. In other words, in some embodiments of the systems, methods, and devices described herein can be configured to detect false movements for motion correction during a medical imaging scan and/or therapeutic procedure, and thereby ensure that such false movements are not accounted for in the motion correction process. Upon detection of false movements, the imaging or therapeutic system can be configured to transiently suppress and/or subsequently repeat acquisitions.

Abstract: Methods and systems of managing data files are described herein. One method includes updating a container file of data files having a container file metadata section and one or more empty records, each record of the one or more empty records having: (i) a data file section reserved for storing a data file, (ii) a file metadata section reserved for storing metadata about the data file, and (iii) a record metadata section including information about the record and having at least a record status mark indicating that the record is empty. The method includes setting the record status mark of the one or more empty records to being updated; writing one or more records containing the data file into the one or more empty records within the container file. After successfully writing the one or more records resetting the record status mark to valid.

Abstract: This disclosure relates generally to lane detection, and more particularly to method and systems for lane detection. In one embodiment, a method for lane detection is includes generating an edge image including inbound edges of lane-markings corresponding to a road image. Based on an adaptive thresholding of intensity of lane-markings from image strips selected from the image, a plurality of lane masks are extracted. A plurality of valid lane masks are selected from the plurality of lane masks based on a structure and intensity information of the plurality of valid lane masks in the image strips. An overlap between the inbound edges and the valid lane masks is determined to identify a plurality of edge segments of the pair of inbound edges belonging to the lane-markings. A set of valid edge segments of the pair of inbound edges are obtained based on the curvature information of the edge segments.

Abstract: Disclosed herein is an intelligent agent to analyze a media object. The agent comprises a trained model comprising a number of state layers for storing a history of actions taken by the agent in each of a number of previous iterations performed by the agent in analyzing a media object. The stored state may be used by the agent in a current iteration to determine whether or not to make, or abstain from making, a prediction from output generated by the model, identify another portion of the media object to analyze, end analysis. Output from the agent's model may comprise a semantic vector that can be mapped to a semantic vector space to identify a number of labels for a media object.

Abstract: A substrate includes a pixel array region and a display panel are provided. The pixel array region includes: a base substrate; a light shielding region disposed on the base substrate; and at least one fingerprint sensor pattern disposed in the light shielding region. The fingerprint sensor pattern includes: a driving electrode pattern and a sensing electrode pattern, wherein the driving electrode pattern is configured for providing a driving signal of fingerprint identification, the sensing electrode pattern is configured for receiving a sensing signal of fingerprint identification, and the driving electrode pattern and the sensing electrode pattern are electrically insulated from each other.

Abstract: A projection conversion coefficient acquirer of an image processing apparatus acquires the same number of projection conversion coefficients, which are coefficients for doing projection conversion of an image, as the number of a plurality of reference points at differing positions in the image. A post-projection-conversion image acquirer does projection conversion on the image through each of the projection conversion coefficients, of which there are the same number as the number of the plurality of reference points acquired by the projection conversion coefficient acquirer, and acquires a plurality of post-projection-conversion images from the image, the number of the post-projection-conversion images being the same as the number of reference points.

Abstract: There is provided a system including a non-transitory memory storing an executable code and a hardware processor executing the executable code to receive a plurality of training contents depicting a plurality of activities, extract training object data from the plurality of training contents including a first training object data corresponding to a first activity, extract training scene data from the plurality of training contents including a first training scene data corresponding to the first activity, determine that a probability of the first activity is maximized when the first training object data and the first training scene data both exist in a sample media content.

Abstract: Various aspects of a system and a method to process multimodal images are disclosed herein. In accordance with an embodiment, the system includes an image-processing device that generates a structured point cloud, which represents edge points of an anatomical portion. The structured point cloud is generated based on shrink-wrapping of an unstructured point cloud to a boundary of the anatomical portion. Diffusion filtering is performed to dilate edge points that correspond to the structured point cloud to mutually connect the edge points on the structured point cloud. A mask is created for the anatomical portion based on the diffusion filtering.

Abstract: Technologies for a single-pass process for enhancing video quality with temporal smoothing. The process may include providing for user overrides of automatically enhanced video/frame characteristics and providing substantially immediate previews of enhanced video frames to a user. The process may also include detecting a degree of shakiness in a portion of the video, and performing or recommending stabilization based on the detected shakiness.

Abstract: A method of extracting and reconstructing court lines includes the steps of binarizing a court image of a court including court lines to form a binary image; performing horizontal projection for the binary image; searching for plural corners in the binary image and defining a court line range by the corners; forming plural linear segments from images within the court line range by linear transformation; defining at least one first cluster and at least one second cluster according to the characteristics of the linear segments and categorizing the linear segments into plural groups; taking an average of each group as a standard court line and creating a linear equation of the standard court line to locate the point of intersection of the standard court lines; and reconstructing the court lines according to the point of intersection.

Abstract: A recognition method includes receiving an input image; and recognizing a plurality of elements associated with the input image using a single recognizer pre-trained to recognize a plurality of elements simultaneously.

Abstract: A system and method for analyzing multi-dimensional images includes a high content imaging system that includes an image capture device. An image acquisition module receives a series of images of a biological sample captured by the image capture device, and the series of images includes a sequence of image planes. A human interface module receives from a user computer specifications of a first image analysis step and a second image analysis step. The first image analysis step specifies a first image processing operation that processes an image plane of a series of images in accordance with at least another image plane of the series of images and the second image analysis step specifies a second image processing operation that processes each image plane of a series of images independently of the other image planes of the series.

Abstract: A method for processing a multi-channel image includes modification of adjusted pixel values of one or more pixels in a region of the multi-channel image, in accordance with a pre-specified signal pattern based on one or more parameters. A score is determined based on a ratio of a pixel difference value and a maximum pixel step value. The maximum pixel step value corresponds to modified pixel values of the one or more pixels in the region when the maximum pixel step value exceeds a threshold noise level for the region. False color is suppressed in a selected region of the multi-channel image based on the determined score when the false color is identified in the region.

Abstract: A scalable rank filter and method that performs rank filtering based on input data samples are disclosed. In one embodiment, the rank filter comprises a pipeline that receives input data samples and generates an output based on the input data samples as a result of completing execution of the pipeline. The rank filter includes output logic to determine the output prior completing execution of the pipeline and outputs an indication of a median.