Abstract: A method, a device and a computer-readable storage medium with instructions for determining the lateral position of a transportation vehicle relative to the lanes of a carriageway. An image processing unit acquires geometry information and property information relating to carriageway markings. A position-determining unit determines an approximate position of the transportation vehicle. An evaluation unit determines the lateral position of the transportation vehicle by comparing the determined geometry information and property information of the carriageway markings with carriageway marking geometries at the approximate position determined for the transportation vehicle, from a lane geometry map. The lane geometry map contains lane center geometries and lane edge geometries with a high level of accuracy with respect to one another.

Abstract: A system of recognizing identity of object and method of automatically recognizing identity of object are provided. The method is to shoot a monitoring region for obtaining a monitoring image, recognize an object image in the monitoring image, scan the monitoring region for retrieving each identity data of each wireless badge, determines each image position of each object image in the monitor region, determine each badge position of each wireless badge in the monitor region, and link the object image and the identity data together when the positions match with each other. The system can pair the object image with the identity data instantly, determine whether the object is unregistered, and effectively save the time and human resources required by artificially pairing the object images with the identity data.

Abstract: An information processing device according to one embodiment of the present invention includes: a setting unit that sets a pattern used for outputting a partial image obtained from an omnidirectional image in accordance with the number and a position of at least one region of interest obtained from the omnidirectional image, which is a captured image captured by using a fisheye lens; an extract unit that, in accordance with a pattern set by the setting unit, cuts out a partial image including the region of interest from the omnidirectional image; a correction unit that performs a distortion correction process on the partial image cut out by the extract unit; and an output unit that, in accordance with the pattern set by the setting unit, outputs the partial image on which the distortion correction process has been performed by the correction unit.

Abstract: A classification system and a classification method of the autoantibody immunofluorescence image are disclosed. The system includes an input device, a processor and an output device. The plurality of cell immunofluorescence images and the corresponded extractable nuclear antigen results are input through the input device. The processor conducts a plurality of convolution neural network calculation and output the classification based on the extractable nuclear antigen results, so as to obtain an extractable nuclear antigen classification model. When the autoantibody immunofluorescence image is input by the input device, the corresponded classification of the extractable nuclear antigen can be predicted. The classification result is output through the output device.

Abstract: Embodiments of systems and methods for resolving incorrect distributed Simultaneous Localization and Mapping (SLAM) data in edge cloud architectures are described. In some embodiments, a method may include: receiving a first plurality of landmarks usable to produce a first map of a physical space for a first Head-Mounted Device (HMD) and selecting a first set of golden references; receiving, from an Information Handling System (IHS) coupled to a second HMD, a second set of golden references usable to produce a second map of the physical space for the second HMD; determining that a first instance of a given golden reference in the first set of golden references matches a second instance of the given golden reference in the second set of golden references; and in response to the first and second instances of the given golden reference being distant from each other by a threshold, produce a new first map.

Abstract: A saliency mapping method includes displaying video clip imagery of an organ in a display of a computer and submitting the imagery to a neural network trained to produce a probability of an existence of a physical feature of the organ. In response, the probability is received along with a pixel-wise mapping of dispositive pixels in the imagery resulting in the probability. Variations of the imagery are then repeatedly resubmitted to the neural network, each including a change to one or more of the pixels in the imagery. Thereafter, for each resubmission, a change is measured in the probability and then correlated to the changed pixels. Finally, a graphical indicator is overlain on the display of the imagery corresponding to each of the pixels determined through the repeated resubmission to be dispositive based upon a threshold measured change in probability.

Abstract: A method and computer software for creating an encoded image and which can optionally include a method for decoding the encoded image. The encoded image is preferably formed from at least one symmetric image but can be formed from a plurality of symmetric images. Embodiments of the present invention can be performed with physical paper and writing utensils or can be performed via computer software. Embodiments of the present invention can be used for art authentication based on results obtained by decoding an image. In one embodiment, one or more encoded image elements can be revealed simultaneously. Optionally, however, encoded image elements can be caused to be revealed in a series that gives a sense of motion in a manner similar to that of motion picture animation.

Abstract: There is provided an information processing apparatus including an image acquisition unit configured to acquire a captured image of users, a determination unit configured to determine an operator from among the users included in the acquired captured image, and a processing unit configured to conduct a process based on information about user line of sight corresponding to the determined operator.

Abstract: An information processing apparatus includes a dividing unit configured to divide a read image into plural divided images, an acquiring unit configured to acquire additional information including a content common to the plural divided images, and an addition processing unit configured to perform addition processing for adding the acquired additional information to plural data files respectively including the divided images.

Abstract: An imaging device may capture images of a scene, where the scene includes retroreflective materials. Where visual images and depth images are captured from a scene, and the depth images have ratios of supersaturated pixels that are less than a predetermined threshold, a location map of the scene is generated or updated based on the depth images. Where the ratios are greater than the predetermined threshold, the location map of the scene is generated or updated based on the visual images. Additionally, where each of a plurality of imaging devices detect concentrations of supersaturated pixels beyond a predetermined threshold or limit within their respective fields of view, an actor present on the scene may be determined to be wearing retroreflective material, or otherwise designated as a source of the supersaturation, and tracked with the scene based on coverage areas that are determined to have excessive ratios of supersaturated pixels.

Abstract: A method for detecting map errors includes the following method steps: A first and a second locating map are provided. Features detectable with the aid of a first surroundings sensor of a vehicle are recorded in the first locating map. Features detectable with the aid of a second surroundings sensor of the vehicle are recorded in the second locating map. At least one comparison feature recorded in the first and second locating maps is selected. At least one comparison variable is ascertained on the basis of a first pose of the comparison feature on the first locating map and a second pose of the comparison feature on the second locating map. A map error is established if the comparison variable exceeds a specified threshold value.

Abstract: Various embodiments of the present disclosure may store instructions to perform image recognition for a plurality of images, calculate similarity between the plurality of images, based at least partially on a result of the image recognition, create a group including at least two images of the plurality of images, based at least partially on the calculated similarity, determine a sequence for displaying, the at least two images included in the group, based at least partially on similarity between the at least two images included in the group, and output the at least two images onto the display in the sequence. In addition, various other embodiments are possible.

Abstract: A system and method are presented for video analysis. In an embodiment, video analysis may be applied in a contact center environment to aid contact center agents in improving the effectiveness of interactions. Feedback may be provided in real time to an agent on their interaction. Body mechanics may be examined and rated. In an embodiment, body mechanics may be combined with indicators which inform an agent on their performance. Tips may also be provided to an agent on how to improve performance in the form of audio overlay, video overlay, reports, or any combination of these. Feedback may also be used to improve the routing of communications within the contact center. Static and dynamic visual characteristics may also be used to improve routing decisions.

Abstract: Systems and methods are disclosed for universal body movement translation and character rendering. Motion data from a source character can be translated and used to direct movement of a target character model in a way that respects the anatomical differences between the two characters. The movement of biomechanical parts in the source character can be converted into normalized values based on defined constraints associated with the source character, and those normalized values can be used to inform the animation of movement of biomechanical parts in a target character based on defined constraints associated with the target character.

Abstract: A parking enforcement device can be secured to a surface adjacent to the area designated as NO PARKING. The enforcement device can include a camera aimed towards the area designated as NO PARKING and monitor this area for the entry of a vehicle. A parking violation is determined to have occurred upon determining that the vehicle has entered the area designated as NO PARKING, and image data of the entry of a vehicle into the NO PARKING area that was captured by the camera can be relayed to a remote computing system. The parking enforcement device can be provided as a bollard that includes a camera secured to a center pole extending vertically upwards inside of the bollard. The camera can be located along the center pole so that the camera views outward from the bollard via a window section of the bollard.

Abstract: An audio and video reproduction apparatus that comprises a memory, a display screen, and circuitry. The memory stores a sequence of image frames of multi-media content and closed caption (CC) information associated with the multi-media content. The circuitry detects a first position of a first object in an image frame, of the sequence of image frames, to be displayed on the display screen. The circuitry further controls, based on a user-input, the display screen to display the image frame in a first display portion of the display screen and display a first portion of the CC information at a second position in a second display portion of the display screen. The first portion of the CC information is displayed at the second position in the second display portion, based on the detected first position of the first object in the image frame.

Abstract: Systems, methods, and non-transitory computer-readable media can obtain a first video frame and a second video frame. The first video frame can be processed using a convolutional neural network to output a first set of feature maps. The second video frame can be processed using the convolutional neural network to output a second set of feature maps. The first set of feature maps and the second set of feature maps can be processed using a spatial matching layer of the convolutional neural network to determine an optical flow for at least one pixel.

Abstract: Systems and methods generate synthetic sensor data, such as synthetic radar, lidar, and/or sonar data from three dimensional (3D) scene data that may be custom designed. Reflectivity coefficients in the radar, lidar, and/or sonar spectrums may be determined for objects included in the 3D scene data. The reflectivity coefficients may be utilized by a game engine for computing the synthetic sensor data. The synthetic sensor data may be used in the creation, evaluation, and/or verification of a design for a controller or other system that utilizes such data.

Abstract: A user terminal apparatus is provided. The user terminal apparatus includes a camera configured to obtain a captured image; a storage configured to store a food intake history; a processor configured to extract a food image from the captured image and determine a food type of a food item included in the captured image based on feature information of the extracted food image and the previously stored food intake history; and a display configured to display relevant information about the determined food type.

Abstract: Various systems and methods for implementing distributed object detection processing are described herein. An object detection system includes a plurality of computer vision accelerators to process a respective plurality of portions of an input image and produce a list of detected objects in the respective plurality of portions of the input image; and a processor subsystem to: combine the list of detected objects from each of the plurality of computer vision accelerators, to produce a combined list of detected objects; sort the combined list of detected objects; and remove duplicate entries in the combined list of detected objects to produce an output list of detected objects.