Abstract: The pose of a wide-angle image is determined by dewarping regions of the wide-angle image, determining estimated poses of the dewarped regions of the wide-angle image and deriving a pose of the wide-angle image from the estimated poses of the of the dewarped regions. The estimated poses of the dewarped regions may be determined by comparing features in the dewarped regions with features in prior dewarped regions from one or more prior wide-angle images, as well as by comparing features in the dewarped regions with features in a point cloud.

Abstract: A method for processing images of an agricultural field is disclosed that enables accurate phenotype measurements for crops planted in each research plot of the agricultural field. The method comprises receiving a plurality of input images of the agricultural field, calculating and refining object space coordinates for matched key points in the input images and an object space camera pose for each input image, calculating and refining object space center points for the research plots based on a user-defined plot layout, and generating output images of individual research plots that are centered, cropped, orthorectified, and oriented in alignment with planted rows of crops. Based on the output images, accurate phenotype measurements for crops planted in each research plot can be determined.

Abstract: An apparatus and method for simultaneously testing a plurality of mobile devices is disclosed. The method for simultaneously testing a plurality of mobile devices generally includes simultaneously executing a test mobile device application on the plurality of mobile devices, determining test mobile device application results for the plurality of mobile devices at a plurality of test computers, sending a test mobile device application results from the plurality of mobile devices to the plurality of test computers, and deleting the test mobile device application on the plurality of mobile devices.

Abstract: An apparatus and method for simultaneously testing a plurality of mobile devices is disclosed. The method for simultaneously testing a plurality of mobile devices generally includes simultaneously executing a test mobile device application on the plurality of mobile devices, determining test mobile device application results for the plurality of mobile devices at a plurality of test computers, sending a test mobile device application results from the plurality of mobile devices to the plurality of test computers, and deleting the test mobile device application on the plurality of mobile devices.

Abstract: Systems and methods are disclosed herein for determining a location of a device, for example, by receiving, from a client device, a rendering of an image captured by the client device. The systems and methods compare the received rendering to entries in a database of renderings, each respective entry including a respective rendering and a respective associated location, and determine, from the comparing whether the received rendering matches a respective rendering included in a respective entry in the database of renderings. The systems and methods, in response to determining that the received rendering matches the respective rendering included in the respective entry, determine the location associated with the matching rendering, and transmit the location to the client device.

Abstract: A posture estimation device includes: a processor that: obtains detected information indicating a feature of a subject, wherein the feature is detected based on an image that is captured by an imager from a position where the subject is viewed from above, calculates a feature amount based on the obtained detected information, updates, based on a geometric relationship between the imager and the subject, a model parameter for estimating a posture of the subject by machine learning using the calculated feature amount in a time series, and estimates the posture of the subject using the updated model parameter.

Abstract: The present disclosure provides a system and a method for stitching images using non-linear optimization and multi-constraint cost function minimization. Most of conventional homography based transformation approaches for image alignment, calculate transformations based on linear algorithms which ignore parameters such as lens distortion and unable to handle parallax for non-planar images resulting in improper image stitching with misalignments. The disclosed system and the method generates initial stitched image by estimating a global homography for each image using estimated pairwise homography matrix and feature point correspondences for each pair of images, based on a non-linear optimization. Local warping based image alignment is applied on the initial stitched image, using multi-constraint cost function minimization to mitigate aberrations caused by noises in the global homography estimation to generate the refined stitched image.

Abstract: A method for image analysis according to an embodiment may include generating a prediction result for an original image using a pre-trained image classification model, learning a plurality of masks using the original image, the prediction result, and the image classification model, and generating a map visualizing a importance of each area of the original image for the prediction result based on at least one of the plurality of masks.

Abstract: Certain aspects provide a method of generating a physical activity model, including: receiving, via a motion capture device, motion data corresponding to a plurality of key states associated with a physical activity sequence; for each respective key state in the plurality of key states: determining a plurality of joint positions associated with the respective key state; determining a plurality of body segment positions associated with the respective key state based on the plurality of joint positions; determining a plurality of inter-state differentiation variables for the respective key state; determining one or more state characteristic metrics for the respective key state; and determining a classifier for the respective key state based on the one or more state characteristic metrics; and defining a physical activity model based on the one or more state characteristic metrics and the classifier associated with each key state.

Abstract: A testing bench can be used while testing wireless telecommunications devices. In some examples, the testing bench includes a first surface and a second surface that houses a patch panel, a combiner, and/or an attenuator. The testing bench can be located in a shielded enclosure with at least two conductive radio frequencies (RF) shield layers separated by an insulator material. In some examples, the testing bench may receive a radio signal from a radio source located outside of the shielded enclosure and provide the radio signal to a wireless (UE) device under testing via the patch panel, the combiner and/or the attenuator.

Abstract: A method for generating a reduced-blur digital image representing a scene, the method being computer-implemented and comprising the following successive steps: i) providing at least two digital source images, a same element of the scene being represented in at least two source images, ii) selecting a reference image among the source images, iii) for at least one source image different from the reference image, and for at least one pixel of the reference image, a) defining a pattern in the reference image comprising pixels of the reference image, the element being represented in said pattern, b) constructing a map of coordinates that associates coordinates of the pattern in the reference image with the coordinates of the most similar pattern in the source image, c) optionally, filtering of the map of coordinates, and d) generating a corrected image by assigning to a pixel of the corrected image, the position of the pixel of the reference image and a color extracted from the source image point which position i

Abstract: A broadcast response system provides, e.g., a radio broadcast listener with the ability to obtain media content such as music or speech while listening to the radio. The user can respond to items in the radio broadcast such as advertisements, fund raising drives, or interactive listener polls during the broadcast. Data such as song title and artist, author or publisher and the IP address for the location where the digital version of the content is stored, can be transmitted using, e.g., the RBDS/RDS data stream. A reference number representing song title and artist, author or publisher and the IP address for the location where the digital version of the content is stored can also be employed for ease of implementation. This reference number can reside in a lookup table to be accessed by broadcast response server.

Abstract: The present disclosure relates to an object trajectory tracking and displaying method, comprising the following steps of: creating a mapping relationship database of image features and WIFI information for objects in a distributed search server, where each WIFI information includes position information; receiving a trajectory query request for a monitored object; searching the mapping relationship database of image features and WIFI information for objects according to an image feature of the monitored object to produce a WIFI information set, and producing a corresponding position information set based on the WIFI information set; and generating real-time trajectory information of the monitored object based on the position information set. The object trajectory tracking and displaying method and system of the present disclosure make the position of the sampling data points more accurate and improve the accuracy of trajectory querying.

Abstract: An apparatus and method for simultaneously testing a plurality of mobile devices is disclosed. The method for simultaneously testing a plurality of mobile devices generally includes simultaneously executing a test mobile device application on the plurality of mobile devices, determining test mobile device application results for the plurality of mobile devices at a plurality of test computers, sending a test mobile device application results from the plurality of mobile devices to the plurality of test computers, and deleting the test mobile device application on the plurality of mobile devices.

Abstract: A method for pushing information based on a user emotion including recordings of behavior habits of the user based on a number of predefined emotions within a predefined time period can be implemented in the disclosed electronic device. Based on each predefined emotion, a proportion of each behavior habit of the user is determined at the predetermined time intervals. The device determines information to be pushed according to a current user emotion and the proportions of the behavior habits of the user corresponding to the current user emotion, and the electronic device is controlled to push the determined information.

Abstract: A state recognition apparatus includes circuitry configured to: recognize a monitoring target based on a captured image; recognize a motion of each part of the recognized monitoring target; recognize a state of the monitoring target based on the recognized motion of each part; and output a state recognition result indicating the recognized state of the monitoring target.

Abstract: A pedestrian retrieval method and apparatus that belong to the video surveillance field include extracting first feature data, second feature data, and third feature data of a target pedestrian image, where the target pedestrian image is an image of a to-be-retrieved pedestrian, and the first feature data, the second feature data, and the third feature data respectively include a plurality of pieces of body multidimensional feature data, a plurality of pieces of upper-body multidimensional feature data, and a plurality of pieces of lower-body multidimensional feature data of the target pedestrian image, screening stored multidimensional feature data based on the first feature data, the second feature data, and the third feature data to obtain a target feature data set, and outputting a pedestrian retrieval result using the target feature data set.

Abstract: An apparatus and method for simultaneously testing a plurality of mobile devices is disclosed. The method for simultaneously testing a plurality of mobile devices generally includes simultaneously executing a test mobile device application on the plurality of mobile devices, determining test mobile device application results for the plurality of mobile devices at a plurality of test computers, sending a test mobile device application results from the plurality of mobile devices to the plurality of test computers, and deleting the test mobile device application on the plurality of mobile devices.

Abstract: A computer implemented method for image verification comprises receiving, by a processor, a plurality of image frames, comprising at least one test frame and one or more control frames; mapping, by the processor, each image frame onto a hue-saturation colour space; generating, based on the mapped image frames, a colour distribution for each image frame; calculating, by the processor, a correlation between the colour distributions generated for the at least one test frame and the one or more control frames; and generating, by the processor for output to a user, a verification output based on the calculated correlation.

Abstract: A living body sensor obtains a plurality of living body images along an authentication-target living body, and a shape sensor obtains shape information corresponding to each of the plurality of living body images. A processor determines a position of a part of the authentication-target living body captured in each of the plurality of living body images, according to the shape information corresponding to each of the plurality of living body images. The processor compares a biometric feature of each of the plurality of living body images and a registered biometric feature by using a determined position of the part of the authentication-target living body and performs authentication for the authentication-target living body according to a comparison result of comparing the biometric feature of each of the plurality of living body images and the registered biometric feature.