Abstract: A data processing device for detecting motion in a sequence of frames each comprising one or more blocks of pixels, includes a sampling unit configured to determine image characteristics at a set of sample points of a block, a feature generation unit configured to form a current feature for the block, the current feature having a plurality of values derived from the sample points, and motion detection logic configured to generate a motion output for a block by comparing the current feature for the block to a learned feature representing historical feature values for the block.

Abstract: A system includes an aerially mounted video capture device and a processor. The processor is operable to direct the video capture device to obtain an image of a monitored area and process the image to identify objects of interest represented in the image. The processor is also operable to generate bounding perimeter virtual objects for the identified objects of interest, which substantially surround their respective objects of interest. The processor is further operable to determine danger zones for the identified objects of interest based on the bounding perimeter virtual objects. Each danger zone represents a distance threshold about a respective object of interest. The processor is further operable to determine at least one near-miss condition based at least in part on an actual or predicted overlap of danger zones for two or more objects of interest, and to generate an alert at least partially in response to the near-miss condition.

Abstract: Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

Abstract: Provided is an image processing apparatus including: a region comparison unit configured to receive first luminance information corresponding to a first image signal and second luminance information corresponding to a second image signal, and to generate third luminance information by using the first and second luminance information; a region determination unit configured to calculate a brightness level value for the first image signal by using the first luminance information; a reliability determination unit configured to calculate a reliability determination value for the first image signal by using the first luminance information; an extraction unit configured to generate a luminance correction threshold value of the first image signal by using the brightness level value and the reliability determination value; and an interpolation unit configured to output corrected luminance information for the first luminance information by using the luminance correction threshold value and the third luminance informati

Abstract: The present application discloses an imaging system for detecting human-object interaction and a method for detecting human-object interaction thereof. The imaging system includes an event sensor, an image sensor, and a controller. The event sensor is configured obtain an event data set of the targeted scene according to variations of light intensity sensed by pixels of the event sensor when an event occurs in the targeted scene. The image sensor is configured capture a visual image of the targeted scene. The controller is configured to detect human according to the event data set, trigger the image sensor to capture the visual image when the human is detected, and detect the human-object interaction in the targeted scene according to the visual image and a series of event data sets obtained by the event sensor during the event.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for associating objects are provided. For example, the disclosed technology can receive sensor data associated with the detection of objects over time. An association dataset can be generated and can include information associated with object detections of the objects at a most recent time interval and object tracks of the objects at time intervals in the past. A subset of the association dataset including the object detections that satisfy some association subset criteria can be determined. Association scores for the object detections in the subset of the association dataset can be determined. Further, the object detections can be associated with the object tracks based on the association scores for each of the object detections in the subset of the association dataset that satisfy some association criteria.

Abstract: The invention relates to a device for measuring a mask for microlithography, the device including an imaging device and an autofocusing device. The imaging device comprises an imaging optical unit with a focal plane for imaging the mask, an object stage for mounting the mask, and a movement module for producing a relative movement between object stage and imaging optical unit. The autofocusing device is configured to generate a focusing image by way of the imaging of a focusing structure in a focusing image plane intersecting the focal plane, in which the focusing structure is embodied as a gap. Furthermore, the invention relates to an autofocusing method for a device for measuring a mask for microlithography.

Abstract: A method including determining with a three-dimensional (3D) measuring instrument 3D coordinates of an object for each of a plurality of poses of the 3D measuring instrument; capturing with a camera first- and higher-order diffraction components of markers near or on the object, the camera having a diffractive optical element (DOE), a lens, and a photosensitive array; and registering with a processor the determined 3D coordinates based at least in part on the determined 3D coordinates and on the imaged zero- and higher-order diffraction components.

Abstract: Aspects of this disclosure relate to a biometric sensing device that combines sensing with an actuator for two way communication between a finger on a surface and the device. The sensor can also function as an actuator. A finger can be authenticated based on an image of the finger generated by the sensor and also based on a response to energy delivered to the finger by the actuator. Two way communication can provide more robust authentication than fingerprint sensing alone.

Abstract: The present disclosure discloses a multi-path image processing apparatus. An image merging circuit is configured to receive image frames that at least one of the image frames has a largest row number, generate redundant pixel row for each of the image frames that has a row number smaller than the largest row number such that the row number of each of the image frames equals to the largest row number, generate redundant pixel columns for each of the image frames having the number thereof determined by a size of a largest operation window, and merge each two of the image frames through the redundant columns thereof to generate a merged image frame. An image processing circuit performs image processing procedure on the merged image frame to generate a processed merged image frame, wherein at least a part of the image processing procedure is operated according to the largest operation window. An image segmentation circuit segments the processed merged image frame to generate processed image frames.

Abstract: Provided are an image processing apparatus and an image processing method that process a far-infrared image. The image processing apparatus includes a region extraction section, a modal transformation section, and a superimposition section. The region extraction section extracts a region of interest within a visible-light image captured by a visible-light camera. The modal transformation section receives an image of the region of interest within an infrared image captured by an infrared camera observing the same subject as the visible-light camera, and transforms the received image to a modal image. The superimposition section generates a presentation image by superimposing the modal image on the region of interest within the visible-light image. The modal transformation section transforms a far-infrared image of the region of interest to a modal image including an information modal familiar to humans by using, for example, a database and a conditional probability distribution.

Abstract: A motion analysis system analyzing a prescribed motion performed by a person using a prescribed tool, with a prescribed portion of the person or portion of the tool in the motion being taken as a measurement portion, a predictive model generated by learning based on learning data including an image frame of a motion video, wherein the person performing the motion, and an inter-frame differential frame indicating a difference in pixel values between frames of each pixel of the image and an adjacent frames, which is adjacent to the image frame, in the motion video; generates an inter-frame differential frame of a given analysis object video; and predicts by using the predictive model a position of the measurement portion in an image frame of the analysis object video on the basis of the image frame of the analysis object video and the inter-frame differential frame of the analysis object video.

Abstract: A method and a system for dataset evaluation are provided. The method can include acquiring a new dataset for integration with an existing dataset. The existing dataset is used to train a machine learning model. The method can also include calculating a baseline of variation for the existing dataset. The baseline of variation can be determined by evaluating various characteristics of the existing dataset. The method can further include determining an output value for the new dataset by also evaluating characteristics of the new dataset. The method can also include comparing the output value to the baseline of variation to generate a variance between the output value and the baseline of variation. The method can further include determining whether the variance is within an acceptable range of the baseline of variation.

Abstract: Disclosed are hair analysis systems and methods comprising: (a) capturing an image of a user at as captured by a camera and sending the image to a hair analysis processor; (b) analyzing the user's hair condition at the hair analysis processor, based on the image from the camera by using a model that is trained using a plurality of images of users that each feature one or more micro features of a respective user's hair, and providing an analysis result to a display; and (c) displaying at the display the analysis result to the user. The present invention provides the system and the method with an improved sensitivity.

Abstract: For scanning optical patterns, such as two-dimensional QR codes, with a mobile device at increased distances, a first image is acquired. A region of interest likely containing the optical pattern in the first image is identified. The mobile device then zooms in on the region of interest and a second image is acquired. The optical pattern is then decoded using the second image.

Abstract: A chemical release detection system includes a camera, an output control member, a mitigation member, and a controller in operative communication with the camera, the output control member, and the mitigation member. The camera is configured to detect a chemical release. The output control member is configured to generate commands. The mitigation member is configured to reduce risk generated by the chemical release based on the commands by the output control member. The controller is configured to notify a user of the chemical release, and provide an origin of the release and a direction of the release. The controller controls the operation of the output control member and the mitigation member.

Abstract: A mobile entity tracking device is provided with: a video receiving unit for receiving a moving-image frame of a ball game captured by each of a plurality of cameras present at different positions; a mobile entity candidate extraction unit for extracting a candidate for a mobile entity using a plurality of moving-image frames; a mobile entity selection unit for displaying candidates for a mobile entity and accepting selection, by a user, of the mobile entity to be tracked; and a mobile entity tracking unit for tracking the mobile entity that is the object to be tracked. When the mobile entity selection unit accepts selection, by a user, of the mobile entity to be tracked, the mobile entity tracking unit corrects the object to be tracked to the mobile entity selected by the user.

Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for accurately and efficiently removing objects from digital images taken from a camera viewfinder stream. For example, the disclosed systems access digital images from a camera viewfinder stream in connection with an undesired moving object depicted in the digital images. The disclosed systems generate a temporal window of the digital images concatenated with binary masks indicating the undesired moving object in each digital image. The disclosed systems further utilizes a 3D to 2D generator as part of a 3D to 2D generative adversarial neural network in connection with the temporal window to generate a target digital image with the region associated with the undesired moving object in-painted. In at least one embodiment, the disclosed systems provide the target digital image to a camera viewfinder display to show a user how a future digital photograph will look without the undesired moving object.

Abstract: A software development infrastructure can enable user developers to select remote hardware devices to develop and test their software programs. For some tests and development activity, physical access to the remote device can be provided by the infrastructure administrator by replacing the internal calls of an application with mimic code, which can respond to application requests for sensor data, as if the user was physically handling the remote device at the same location.

Abstract: When a first user makes a video call with a second user of the other side by using the video call function, a first state is set as a state in which the enclosure is flatly placed on a first surface of an object, and in which a face of the first user is included within a range of an angle of view AV1 of the front camera C1. In the first state, the mobile information terminal 1 detects a first region including the face of the first user from a wide angle image that is captured by the front camera C1, trims a first image corresponding to the first region, creates a transmission image to be transmitted to a terminal of the other side on the basis of the first image, and transmits the transmission image to the terminal of the other side.