Abstract: Methods and systems for monitoring communication traffic in communication networks, such as Internet Protocol (IP) traffic transferred over the Internet or over a wireless network. The disclosed techniques identify communication traffic that is associated with target individuals, by extracting digital images from the traffic and recognizing target individuals who appear in the images. A correlation system monitors communication sessions that are conducted in a communication network to identify known target individuals who appear in images. Upon recognizing a target individual in an image extracted from a certain session, the system correlates this target user with one or more of the communication identifiers used in the session. The system automatically identifies IP addresses or other identifiers that are used by target individuals, and enable subsequent tracking of such identifiers.

Abstract: The effect of a treatment on a rock sample or sub-sample extracted from the rock sample can be analyzed through computed tomography (CT). To determine the effect of a treatment of a rock sample or the sub-sample, pre-treatment and post-treatment CT images of the rock sample or the sub-sample are captured. Further, the pre-treatment CT images and post-treatment CT images of the rock sample or the sub-sample are compared based on one or more alignment markers added to the rock sample or the sub-sample. In some embodiments, pre-treatment and post-treatment CT scans of an extracted sub-sample provide higher-resolution information regarding the effect of the treatment. Further, pre-treatment and post-treatment CT scans of a rock sample with a restored sub-sample may be considered and may provide additional information regarding the effect of the treatment on the rock sample or the sub-sample.

Abstract: Methods and systems to identify relationships between individuals by analyzing digital images and automatically detecting individuals who appear together in the images. A link analysis system accepts one or more digital images, and automatically recognizes individuals who appear together in the images. The system may recognize the individuals, for example, by applying a suitable face recognition process to the images. Upon identifying individuals who appear together, the system defines a relationship between them and acts upon the relationship.

Abstract: In some implementations, there is provided a method. The method may include receiving data characterizing a plurality of digital video frames; detecting a plurality of features in each of the plurality of digital video frames; determining, from the detected features, a local scale change and a translational motion of one or more groups of features between at least a pair of the plurality of digital video frames; and calculating a likelihood of collision. Related apparatus, systems, techniques, and articles are also described.

Abstract: Fingerprint enrollment is described. An initial procedure in which the appropriate area of the finger is determined from the size of a user's finger, followed by a guidance procedure where guidance information is provided in a pseudo random manner and further fingerprint data is obtained during the pseudo random guidance. When the appropriate area of the finger has been covered, fingerprint data is used in a calculation of fingerprint enrollment data that can be used in subsequent steps in the enrollment procedure.

Abstract: A method and apparatus of aligning calibration projection data with object projection data to improve calibration corrections of the object projection data. In a first implementation, the method interpolates and upsamples both the calibration and object data, then shifts the upsampled calibration data to match a sub-view angular offset of the object data, and then performs calibration corrections before down-sampling the corrected object data. In a second implementation, the method continuously scans an object space—with the object absent (present) in the object space—to obtain calibration data (object absent) and object data (object present) both having the same sub-view angular offset. In a third implementation, the method obtains multiple scans having different sub-view angular offsets, organizes the scans into bins according to their respective sub-view angular offsets, and chooses the appropriate sub-view angular offsets bin for calibration corrections of the object data.

Abstract: The disclosure herein provides methods, systems, and devices for automated reorientation and/or analysis of medical scans and/or images. The methods, systems, and devices for automated analysis of medical scans can be configured to mark, score, grade, and/other otherwise classify medical scans that are more time-sensitive, severe, and/or the like to allow a medical professional reviewing and/or analyzing medical scans to view and/or analyze such scans more efficiently by using a common image orientation and/or taking into account knowledge of the risk of severity, time-sensitiveness, and/or other priority.

Abstract: Provided is an image processing apparatus including a moving object detection unit configured to detect a moving object which is an image different from a background in a current image, a temporary pause determination unit configured to determine whether the moving object is paused for a predetermined time period or more, a reliability processing unit configured to calculate non-moving object reliability for a pixel of the current image using the current image and a temporarily paused image including a temporarily paused object serving as the moving object which is paused for a predetermined time period or more, the non-moving object reliability representing likelihood of being a non-moving object which is an image different from the background that does not change for a predetermined time period or more, and a non-moving object detection unit configured to detect the non-moving object from the current image based on the non-moving object reliability.

Abstract: An image processor, a lighting processor, and a method therefore are provided. According to one aspect of the invention, the lighting processor can extract information related to defuse lighting applied to a real object using a colored image and a depth image of the real object. The lighting processor can recover the diffuse image for the real object using the extracted information related to diffuse lighting, and generate either a speculum image or a shadow image using the recovered diffuse image and the colored image.

Abstract: A method of medical image registration includes obtaining a first medical image generated before a medical surgery; obtaining a second medical image generated in real time during the medical surgery; extracting landmark points of at least two adjacent anatomical objects recognizable in the second medical image among a plurality of anatomical objects near an organ of interest of a patient from the first medical image and the second medical image; and registering the first medical image and the second medical image based on a geometrical correlation among the adjacent anatomical objects indicated by the landmark points of the first medical image and a geometrical correlation among the adjacent anatomical objects indicated by the landmark points of the second medical image.

Abstract: A method to improve the efficiency of the detection and tracking of machine-readable objects is disclosed. The properties of image frames may be pre-evaluated to determine whether a machine-readable object, even if present in the image frames, would be likely to be detected. After it is determined that one or more image frames have properties that may enable the detection of a machine-readable object, image data may be evaluated to detect the machine-readable object. When a machine-readable object is detected, the location of the machine-readable object in a subsequent frame may be determined based on a translation metric between the image frame in which the object was identified and the subsequent frame rather than a detection of the object in the subsequent frame. The translation metric may be identified based on an evaluation of image data and/or motion sensor data associated with the image frames.

Abstract: A method and system for monitoring buildings (including houses and office buildings) by performing video content analysis based on two-dimensional image data and depth data are disclosed. Occupation and use of such buildings may be monitored with higher accuracy to provide higher energy efficiency usage, to control operation of components therein, and/or provide better security. Height data may be obtained from depth data to provide greater reliability in object detection, object classification and/or event detection.

Abstract: A method for tracking vessels in image data includes receiving a plurality of image frames and annotating a target vessel in the plurality of image frames. A plurality of tracking targets associated with the target vessel is selected based on a first image frame included in the plurality of image frames. For each respective image frame, a set of tracking points are determined according to a tracking algorithm which includes: selecting a plurality of landmark hypothesis points for each tracking target in the respective frame based on a comparison with a previous image frame, constructing a directed acyclic graph from the plurality of landmark hypothesis points, and solving the directed acyclic graph to yield a plurality of optimal landmarks for the respective image frame.

Abstract: Methods, systems, and computer readable media for real-time 2D/3D deformable registration using metric learning are disclosed. According to one aspect, a method for real-time 2D/3D deformable registration using metric learning includes creating a catalog of simulated 2D projection images based on a reference 3D image and a shape space of 3D deformations, where each entry in the catalog is created by: applying to the reference 3D image a set of deformation parameters from the shape space of deformations; simulating a 2D projection of the result; associating the simulated 2D projection image with the deformation parameters used to create the simulated 2D projection image; and storing the simulated 2D projection image and associated deformation parameters in the catalog.

Abstract: A system and method for carrying out improved spatial and color adaptive gamut mapping algorithms, based on image decomposition in two bands Ihigh and Ilow using 5D bilateral filtering. A function g( ) applied to the low-pass band Ilow carries out black point compensation followed by a gamut clipping algorithm. Function k( ) applied to Ihigh is a locally adaptive function. The merging and adaptive mapping of IhighM and IlowM by function f( ) using local adaptive implementations of the two families of pointwise GMAs: compression and clipping is carried out. Two functions f( ) are proposed, they take into account the color properties of the neighborhood of each pixel.

Abstract: Techniques for providing an image download protection may be provided. In particular, an original image may be protected from being downloaded by providing a substitute image in its place, identified by a plurality of layers that are configured to look substantially similar to the original image. However, when a user device attempts to quickly store the image (e.g., by right-clicking on the image and selecting “save”), the user device can be hindered from downloading the substantially similar looking image because only one layer may be stored on the user device. In some examples, the layer of the image looks substantially distinct from the original image, but the layer in combination with a plurality of other layers can look substantially similar to the original image.

Abstract: A pattern light projection unit which stores information on pattern light including information on line patterns projects pattern light including line patterns having at least two lines and at least one reference line pattern serving as a reference of the line patterns on an object in accordance with the information on pattern light. An image pickup unit captures an image of the object to which the pattern light is projected. An information processing apparatus detects the reference line pattern and the line patterns from the captured image, and establishes correspondence between the information on the line patterns stored in the pattern light projection unit and the line patterns detected from the captured image in accordance with the topological positional relationship between the detected reference line pattern and the line patterns so as to identify the line patterns.

Abstract: A display system that includes a projector light bulb. The system includes a light fixture with a conventional light bulb socket. A projector light bulb is provided with a socket adapter for mating electrically with the light bulb socket. A projector such as a pico projector is fit into the socket adapter or to mate with this adapter to be powered by the light bulb socket via the adapter. In lamp-type implementations, the projector is used to project onto a lamp shade-shaped rear projection screen or through a translucent shade and also upon surfaces of the ceiling or objects above the projector light bulb. A light conditioning or directing assembly may be provided that directs a portion of the projected light onto the projection screen (or shade) and another portion up onto the ceiling so as to concurrently focus on two or more surfaces at two or more focal distances.

Abstract: A method for securing an environment. The method includes obtaining a two-dimensional (2D) representation of a three-dimensional (3D) environment. The 2D representation includes a 2D frame of pixels encoding depth values of the 3D environment. The method further includes identifying a set of foreground pixels in the 2D representation, defining a foreground object based on the set of foreground pixels. The method also includes classifying the foreground object, and taking an action based on the classification of the foreground object.

Abstract: A method of image reconstruction for a magnetic resonance imaging (MRI) system having a plurality of coils includes obtaining k-space scan data captured by the MRI system, the k-space scan data being representative of an undersampled region over time, determining a respective coil sensitivity profile for the region for each coil of the plurality of coils, and iteratively reconstructing dynamic images for the region from the k-space scan data via an optimization of a minimization problem. The minimization problem is based on the determined coil sensitivity profiles and redundant Haar wavelet transforms of the dynamic images.