Abstract: When three-dimensional audio is produced by using headphones, particular HRTF-filters are used to modify sound for the left and right channels of the headphone. As the morphology of every ear is different, it is beneficial to have HRTF-filters particularly designed for the user of headphones. Such filters may be produced by deriving ear geometry from a plurality of images taken with an ordinary camera, detecting necessary features from images and fitting said features to a model that has been produced from accurately scanned ears comprising representative values for different sizes and shapes. Taken images are sent to a server (52) that performs the necessary computations and submits the data further or produces the requested filter.

Abstract: A method for masking objects contained in an image is provided, wherein pixel values are determined for pixels of an image. An image mask is generated, which comprises at least one first region in which pixels of a predefined object class are arranged and at least one second region in which pixels of said predefined object class are not arranged. The distance to the nearest pixel in the second region is determined for pixels in the at least one first region. Pixels in the at least one first region are assigned a window that has a window size that depends on the determined distance. At least one new pixel value is determined for a pixel from the pixel values of the pixels within the window assigned to the pixel. The original pixel values of pixels in the one first region are replaced with the respective new pixel values.

Abstract: An information processing apparatus (2000) receives a request for registration of a substitute person. The request includes at least a face image of the substitute person who picks up a picked-up target as a substitute. The information processing apparatus (2000) registers the substitute person using the face image of the substitute person shown in the request. In addition, the information processing apparatus (2000) performs notification related to registration of the substitute person with respect to an authorized picking-up person associated with the picked-up target. The authorized picking-up person is determined using an authorized picking-up person information storage unit that stores the picked-up target in association with the authorized picking-up person of the picked-up target.

Abstract: A document classification method includes extracting one or more first feature words from first sentence information included in a first document to be classified, extracting, from a database including a plurality of cases, a predetermined number of first cases similar to the first document in accordance with the one or more first feature words extracted from the first sentence information, the plurality of cases including the predetermined number of first cases and being classified in advance into the at least one category, the plurality of cases each including second sentence information indicating a main point of each of one or more items, the one or more items being classified in advance depending on meaning of the item, extracting one or more second feature words of each of the predetermined number of first cases from the second sentence information of each of the predetermined number of first cases, calculating a degree of coincidence between each of the predetermined number of first cases and the first

Abstract: A system and method for providing a guided workflow through a series of ultrasound image acquisitions with reference images updated based on a determined anatomical position is provided. The method includes acquiring and displaying, by an ultrasound system, at least one ultrasound image of an anatomy. The method includes determining, by at least one processor, a position of the anatomy depicted in the at least one ultrasound image. The method includes automatically selecting and displaying, by the at least one processor, reference images corresponding to pre-defined views of an ultrasound examination. An orientation of anatomy depicted in the selected and displayed reference images is based on the determined position of the anatomy. The method includes acquiring and displaying, by the ultrasound system, additional ultrasound images of the anatomy corresponding to the selected and displayed reference images. The additional ultrasound images include pre-defined views of the ultrasound examination.

Abstract: A method for determining a motion state of an object in the surroundings of a vehicle. The vehicle includes at least one vehicle camera for providing image data that represent the surroundings. Movability measures and pieces of quality information that are generated by processing the image data, are read in. The movability measures include generated continuous measured values for detecting moving object pixels, using correspondences, recognized using a correspondence algorithm, between pixels in successive images represented by the image data. Pixel-specific pieces of quality information are generated using the read-in pieces of quality information. The pixel-specific pieces of quality information indicate for each pixel the quality of the correspondences. A dynamic object probability is determined for each pixel, using the movability measures and the pixel-specific pieces of quality information.

Abstract: Methods, systems, and apparatus for an image recognition system. The image recognition system includes a memory. The memory is configured to store multiple sequences of movements of multiple standard objects. The image recognition system includes a sensor. The sensor is configured to capture image data of a surrounding environment. The image recognition system includes a processor. The processor is coupled to the memory and the sensor. The processor is configured to recognize an object in the image data. The processor is configured to determine a movement of the object based on the image data. The processor is configured to compare the movement of the object in the image data to a sequence of movements of a standard object of the plurality of standard objects, and determine that the object is a living being based on the comparison.

Abstract: Classification of cancer condition, in a plurality of different cancer conditions, for a species, is provided in which, for each training subject in a plurality of training subjects, there is obtained a cancer condition and a genotypic data construct including genotypic information for the respective training subject. Genotypic constructs are formatted into corresponding vector sets comprising one or more vectors. Vector sets are provided to a network architecture including a convolutional neural network path comprising at least a first convolutional layer associated with a first filter that comprise a first set of filter weights and a scorer. Scores, corresponding to the input of vector sets into the network architecture, are obtained from the scorer. Comparison of respective scores to the corresponding cancer condition of the corresponding training subjects is used to adjust the filter weights thereby training the network architecture to classify cancer condition.

Abstract: The present disclosure provides a reverse assist method for a vehicle, comprising: transforming an i-th image in a reversing direction acquired by a camera unit at time Ti into an i-th top plan view, wherein i?1; generating an i-th result image based on the i-th top plan view, wherein when i is greater than 1, the i-th top plan view and an intermediate image are spliced to generate an i-th result image; outputting the i-th result image; and wherein the intermediate image is a view transformed from an image of an outside environment in the reversing direction acquired at a time earlier than Ti, and the intermediate image is updated according to a predetermined condition during reversing.

Abstract: The present disclosure provides an alert task processing method, a terminal, and a computer-readable storage medium. The alert task processing method includes: receiving a first input of a first operator; performing a screen capturing operation, outputting a screenshot, and obtaining first biometric feature information of the first operator in response to the first input; and performing a target alert task based on the screenshot and the first biometric feature information.

Abstract: A method, an apparatus, a computing device, and a computer-readable storage medium for monitoring use of target item are disclosed. The method includes obtaining a RoI of each of video frames, for each frame, determining whether the target item and a head of a monitored target object are both present in the RoI, if yes, determining whether a hand of the monitored target object is present in the RoI, if the hand not present, determining a face orientation of the monitored target object to determining whether the each frame is in a first video frame status, if the hand presents, determining a relative position relationship between the hand and the target item to determining whether the each frame is in the first video frame status, and based on a number of video frames continuously in the first video frame status, determining whether the monitored target object uses the target item.

Abstract: A data accumulation apparatus has: a detecting device that detects, based on a face image in which a face of a human is included, a first landmark of the face; an obtaining device that obtains a state information indicating a state including at least one of an action unit, an emotion and a physical condition of the human included in the face image; and a database generating device that generates a landmark database that includes first landmarks with each of which the state information is associated and which are categorized by a unit of the facial part.

Abstract: A person detection device configured to analyze a fisheye image obtained by a fisheye camera installed above a to-be-detected area to detect a person existing in the to-be-detected area includes a human body detector configured to detect a human body candidate from a fisheye image and output, as a detection result, a bounding box indicating a region on the fisheye image of each human body candidate detected, a reference storage configured to prestore a reference for a shape and/or size of the bounding box for each position or area on the fisheye image, and a false detection determining unit configured to compare the shape and/or size of the bounding box of the human body candidate contained in the detection result with the reference corresponding to a position where the human body candidate is detected to determine whether the human body candidate results from false detection.

Abstract: A system for automatically generating a video of a trip includes at least two vehicles, each vehicle having at least one sensor configured to continuously detect technical driving parameters of the vehicle, and at least one video camera configured to continuously record video sequences of a pre-definable length. The system also includes at least one computing unit which is configured to process the video sequences with reference to the technical driving parameters, to mark each of the processed video sequences according to pre-definable criteria, and to automatically generate a video on the basis of the markings.

Abstract: The embodiments set forth a technique for securely identifying relevant computing devices that are nearby. The technique can be implemented at a first computing device, and include the steps of (1) receiving, from a second computing device, an advertisement packet that includes: (i) a network address that is associated with the second computing device, and (ii) a hash value that is calculated using the network address and an encryption key that is associated with the second computing device, and (2) for each known encryption key in a plurality of known encryption keys that are accessible to the first computing device: (i) calculating a temporary hash value using the network address and the known encryption key, and (ii) in response to identifying that the temporary hash value and the hash value match: carrying out an operation associated with the second computing device.

Abstract: An image processing device includes a camera interface connectable to a camera configured to capture a video of a worker in a work area, an output interface connectable to a display device that is viewable from the work area, a memory that stores task information about a task to be performed by the worker, and a processor configured to determine a position and a posture of the worker in the work area based on the captured video, determine whether the worker has performed the task properly based on the task information stored in the memory and the determined position and posture of the worker, upon determining that the worker has not performed the task properly, extract from the video a first part showing the task that has been performed by the worker, and control the output interface to output the first part to the display device.

Abstract: Systems and methods for generating targeted media content capture an image from an image capture device. The system may analyze the image to recognize a visual identifier for each entity in the image, each of which may have one or more group identifiers. The system may aggregate the group identifiers to identify the number of each group in the audience area and select media content to display to the audience based on the aggregate numbers of each group identified in the audience area. The system may also derive time restrictions for groups identified in the audience area to help optimize how groups traverse through one or more areas.

Abstract: The present invention relates to a method for sending information to an individual (11) located in the environment of a vehicle (10), the method comprising the following steps: acquiring an image of the environment of the vehicle (10), detecting, where applicable, at least one individual (11) on the acquired image, determining a probability of collision between the individual (11) detected on the acquired image and the vehicle (10), sending at least one item of information to the detected individual (11), the information sent depending on the determined probability of collision, the steps of detecting, determining and sending being repeated, for the same individual (11), with subsequent acquired images as long as said individual (11) is detected on said images and as long as the probability of collision is greater than a threshold.

Abstract: An apparatus for recognizing a driving lane based on multiple sensors is provided. The apparatus includes a first sensor configured to calculate road information, a second sensor configured to calculate moving obstacle information, a third sensor configured to calculate movement information of a vehicle, and a controller configured to remove the moving obstacle information from the road information to extract only road boundary data, accumulate the road boundary data to calculate a plurality of candidate location information on the vehicle based on the movement information, and select final candidate location information from the plurality of candidate location information.

Abstract: Examples described herein include systems for reconstructing facial image data from partial frame data and landmark data. Systems for generating the partial frame data and landmark data are described. Neural networks may be used to reconstruct the facial image data and/or generate the partial frame data. In this manner, compression of facial image data may be achieved in some examples.