Abstract: An image analysis system including an image gathering unit that gathers a high-altitude image having multiple channels, an image analysis unit that segments the high-altitude image into a plurality of equally size tiles and determines an index value based on at least one channel of the image where the image analysis unit identifies areas containing anomalies in each image.

Abstract: A design support system for permitting a design that easily meets desired conditions regarding an entire item group is provided. An automatic estimation system acting as the design support system comprises: an item recognition section that recognizes each of the items included in the item group by individually recognizing elements making up the item; a designated condition recognition section that recognizes a designated condition from the manufacturing conditions; and a recommended-to-be-examined element recognition section that recognizes, with respect to the designated condition recognized, the element corresponding to any of the manufacturing conditions that is recommended to be examined for changes. The recommended-to-be-examined element recognition section displays a model of the item group by highlighting the element for which the manufacturing condition is recommended to be examined for changes.

Abstract: A design support system for permitting a design that easily meets desired conditions regarding an entire item group is provided. An automatic estimation system acting as the design support system comprises: an item recognition section that recognizes each of the items included in the item group by individually recognizing elements making up the item; a designated condition recognition section that recognizes a designated condition from the manufacturing conditions; and a recommended-to-be-examined element recognition section that recognizes, with respect to the designated condition recognized, the element corresponding to any of the manufacturing conditions that is recommended to be examined for changes. The recommended-to-be-examined element recognition section displays a model of the item group by highlighting the element for which the manufacturing condition is recommended to be examined for changes.

Abstract: In biometric ticketing, physical token-less ticketing system using biometrics, a person may be identified using a digital representation of a biometric. Ticketing information may be ascertained based on the identification. The ticketing information may be provided, actions may be performed using the ticketing information, and so on. In some implementations, a checkpoint device receives biometric data from a person. A digital representation of the biometric data is used to obtain an identifier from an identification system. The digital representation of the biometric data may not be included in the identifier. The identifier is used by to obtain ticketing information from a ticketing system. The person may be allowed or denied entry into a ticketed area based on the ticketing information.

Abstract: In biometric ticketing, physical token-less ticketing system using biometrics, a person may be identified using a digital representation of a biometric. Ticketing information may be ascertained based on the identification. The ticketing information may be provided, actions may be performed using the ticketing information, and so on. In some implementations, a checkpoint device receives biometric data from a person. A digital representation of the biometric data is used to obtain an identifier from an identification system. The digital representation of the biometric data may not be included in the identifier. The identifier is used by to obtain ticketing information from a ticketing system. The person may be allowed or denied entry into a ticketed area based on the ticketing information.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer-readable storage medium for estimating the shape, size, and mass of fish are described. A pair of stereo cameras may be utilized to obtain right and left images of fish in a defined area. The right and left images may be processed, enhanced, and combined. Object detection may be used to detect and track a fish in images. A pose estimator may be used to determine key points and features of the detected fish. Based on the key points, a three-dimensional (3-D) model of the fish is generated that provides an estimate of the size and shape of the fish. A regression model or neural network model can be applied to the 3-D model to determine a likely weight of the fish.

Abstract: An electronic device for determining a semantic grid of an environment of a vehicle is provided. The electronic device is configured to: receive first image data of an optical sensor, the first image data comprising a 2D image of the environment, perform a semantic segmentation of the 2D image and project the resulting semantic image into at least one predetermined semantic plane, receive an occupancy grid representing an allocentric bird eye's view of the environment. The control device further includes a neural network configured to determine a semantic grid by fusing the occupancy grid with the at least one predetermined semantic plane.

Abstract: The present disclosure relates to an object recognition apparatus and method. Specifically, the object recognition apparatus according to the present disclosure comprises: an object information collector configured to collect object information based on driving information of a vehicle and surrounding detection information detected around the vehicle; an object selector configured to select an object corresponding to a predetermined first tolerance range based on the object information; a tolerance range setter configured to set a second tolerance range based on the driving information and the object information when a moving object exists among the objects corresponding to the first tolerance range; and a guardrail recognizer configured to determine whether the moving object falls within the second tolerance range based on the object information, and recognize a guardrail based on object information of the moving object corresponding to the second tolerance range.

Abstract: A method comprises providing a current state image and at least one reference image, taken from a similar angle range. The image and the at least one reference image are superimposed and a visual representation visualizing the relation between the image and the reference image is provided in order to track displacements of the bone during subsequent operation steps. A system is provided which can use the image data to track displacements and determine deviation from a current state of the elements in question to a target state.

Abstract: Document portion identification in a recorded video is disclosed, including: obtaining a recorded video; identifying a document portion that appears during the recorded video, wherein the document portion belongs to a document; and determining a video segment during which the document portion appears in the recorded video.

Abstract: Aspects of the disclosure generally relate to computing enabled devices and/or systems, and may be generally directed to devices, systems, methods, and/or applications for learning a device's operation in various circumstances, storing this knowledge in a knowledgebase (i.e. neural network, graph, sequences, etc.), and enabling autonomous operation of the device.

Abstract: A traffic signal recognition method and a traffic signal recognition device acquire a result sequence consisting of a plurality of determination results in time-series order obtained by determining a display state of a traffic signal based on a plurality of images of a traveling direction of a vehicle, set a first threshold as a number threshold if a specific determination result which is a latest determination result among the determination results is a determination result of a permission display that allows a passage of the stop line corresponding to the traffic signal, set a second threshold smaller than the first threshold as the number threshold if the specific determination result is other than a determination result of the permission display, and output the specific determination result if a number of determination results identical to the specific determination result is greater than the number threshold.

Abstract: A method comprises: receiving, at a processor, a first image from a first camera from a stereo camera pair and a second image from a second camera from the stereo camera pair. The method also includes determining, at the processor using a machine learning model, a first set of objects in the first image. The processor determines an object type. The processor identifies a second set of objects in the second image associated with the first plurality of objects. The method also includes calculating, at the processor, a set of disparity values between the first image and the second image based on (1) an object from the first set of objects, (2) an object from the second set of objects and associated with the object from the first set of objects, and (3) an object type of the object from the first set of objects.

Abstract: The present disclosure provides a video timing labeling method. The method includes: acquiring a video file to be labeled and text information to be inquired; acquiring a video segment matching the text information to be inquired based on a timing labeling network of a timing labeling model; acquiring a video feature of the video segment matching the text information to be inquired based on a feature extraction network of the timing labeling model; acquiring text information corresponding to the video segment labeled in the video file based on a visual text translation network of the timing labeling model; and outputting the video segment matching the text information to be inquired and the text information corresponding to the video segment labeled in the video file based on the timing labeling model.

Abstract: A vehicular driver monitoring system includes a driver monitoring camera and an illumination source accommodated within a movable head of an interior rearview mirror of a vehicle. The illumination source is electrically controlled to modulate near-infrared (NIR) light emitted by the illumination source whereby NIR light emitted by the illumination source comprises a characteristic modulation signature. Ambient light that is present within the interior cabin of the vehicle and modulated NIR light emitted by the illumination source that is reflected off at least the head of the driver of the vehicle are incident at the imaging array sensor of the driver monitoring camera. Processing of captured image data at an image processor distinguishes (i) NIR light emitted by the illumination source that has the characteristic modulation signature and that is reflected off the head of the driver from (ii) ambient light present within the interior cabin of the vehicle.

Abstract: A method for ascertaining an explanation map of an image, in which all those pixels of the image are changed which are significant for a classification of the image ascertained with the aid of a deep neural network. The explanation map is selected in such a way that a smallest possible subset of the pixels of the image are changed, and the explanation map preferably does not lead to the same classification result as the image when it is supplied to the deep neural network for classification. The explanation map is selected in such a way that an activation caused by the explanation map does not essentially exceed an activation caused by the image in feature maps of the deep neural network.

Abstract: Disclosed herein are systems and methods for determining metabolic pathway dynamics using time series multiomics data. In one example, after receiving time series multiomics data comprising time-series metabolomics data associated a metabolic pathway and time-series proteomics data associated with the metabolic pathway, derivatives of the time series multiomics data can be determined. A machine learning model, representing a metabolic pathway dynamics model, can be trained using the time series multiomics data and the derivatives of the time series multiomics data, wherein the metabolic pathway dynamics model relates the time-series metabolomics data and time-series proteomics data to the derivatives of the time series multiomics data. The method can include simulating a virtual strain of the organism using the metabolic pathway dynamics model.

Abstract: An apparatus for extracting a color scheme from a video is provided. The apparatus comprises: a semi-master shot segmentation part for segmenting an input video into a plurality of semi-master shots through semi-master-shot boundary detection (SBD); a base palette extraction part for extracting base palettes from the segmented semi-master shots; and a color scheme merging part for merging the base palettes extracted from the semi-master shots to extract a color scheme.

Abstract: A non-transitory computer-readable storage medium storing a control program for causing a computer to execute for acquiring, from a sensor, multiple monitored values in multistep processes including a process related to fermentation of microbes; setting probability distributions for multiple specific parameters related to unmonitored data and included in multiple parameters included in a nonlinear mathematical model related to the fermentation of the microbes corresponding to the multistep processes; generating monitoring predicted values at next monitoring time of the mathematical model based on the multiple monitored values and the probability distributions; using a distribution of the monitoring predicted values and values monitored at the next monitoring time to update the multiple parameters; and controlling the mathematical model so that errors of the multiple specific parameters generated using the mathematical model including the updated multiple parameters are reduced.

Abstract: In biometric ticketing, physical token-less ticketing system using biometrics, a person may be identified using a digital representation of a biometric. Ticketing information may be ascertained based on the identification. The ticketing information may be provided, actions may be performed using the ticketing information, and so on. In some implementations, a checkpoint device receives biometric data from a person. A digital representation of the biometric data is used to obtain an identifier from an identification system. The digital representation of the biometric data may not be included in the identifier. The identifier is used by to obtain ticketing information from a ticketing system. The person may be allowed or denied entry into a ticketed area based on the ticketing information.