Abstract: A system and method for identifying a subject using imaging are provided. In some aspects, the method includes receiving an image depicting a subject to be identified, and applying a trained Disentangled Representation learning-Generative Adversarial Network (DR-GAN) to the image to generate an identity representation of the subject, wherein the DR-GAN comprises a discriminator and a generator having at least one of an encoder and a decoder. The method also includes identifying the subject using the identity representation, and generating a report indicative of the subject identified.

Abstract: An information processing device of the present invention includes: an image processing means that extracts a feature value of an object within a captured image obtained by capturing a pre-passing region of a gate, and stores matching information relating to matching of the object based on the feature value; a distance estimating means that estimates a distance from the gate to the object within the captured image; and a matching means that executes matching determination based on the estimated distance and the stored matching information of the object that the distance has been estimated.

Abstract: A system and a method for automatic assessment of comparative negligence of vehicle(s) involved in an accident. The system receives one or more of a video input, an accelerometer data, a gyroscope data, a magnetometer data, a GPS data, a Lidar data, a Radar data, a radio navigation data and a vehicle state data for vehicle(s). The system automatically detects an occurrence of an accident and its timestamp. The system then detects an accident type of the accident, and a trajectory of the vehicle(s) based on the received data for the detected timestamp. A scenario of the accident is generated and compared with a parametrized accident guideline to generate a comparative negligence assessment for the vehicle(s) involved in the accident.

Abstract: A system that incorporates aspects of the subject disclosure may perform operations including, for example, receiving, via an antenna, a signal generated by a communication device, detecting passive intermodulation interference in the signal, the interference generated by one or more transmitters unassociated with the communication device, and the interference determined from signal characteristics associated with a signaling protocol used by the one or more transmitters. Other embodiments are disclosed.

Abstract: Embodiments of this application provide a living body detection method that can include traversing a plurality of images of a to-be-detected object, and using a currently traversed image as a current image, performing face feature extraction on the current image to obtain an eigenvector corresponding to the current image, the eigenvector describing a structure of a face feature of the object in the current image. The method can further include capturing an action behavior of the to-be-detected object according to a change of the eigenvector corresponding to the current image relative to an eigenvector corresponding to a historical image in a feature sequence, the historical image being a traversed image in the plurality of images, and the feature sequence including an eigenvector corresponding to at least one historical image, and determining the to-be-detected object as a living body in response to capturing the action behavior of the object.

Abstract: Techniques for a perception system of a vehicle that can detect and track objects in an environment are described herein. The perception system may include a machine-learned model that includes one or more different portions, such as different components, subprocesses, or the like. In some instances, the techniques may include training the machine-learned model end-to-end such that outputs of a first portion of the machine-learned model are tailored for use as inputs to another portion of the machine-learned model. Additionally, or alternatively, the perception system described herein may utilize temporal data to track objects in the environment of the vehicle and associate tracking data with specific objects in the environment detected by the machine-learned model. That is, the architecture of the machine-learned model may include both a detection portion and a tracking portion in the same loop.

Abstract: An information processing apparatus (100) includes an acquisition unit (122) that acquires a first image from which person region feature information regarding a region including other than a face of a retrieval target person is extracted, a second image in which a collation result with the person region feature information indicates a match, and a facial region is detected, and result information indicating a collation result between face information stored in a storage unit and face information extracted from the facial region, and a display processing unit (130) that displays at least two of the first image, the second image, and the result information on an identical screen.

Abstract: An information processing apparatus (100) includes an acquisition unit (122) that acquires a first image from which person region feature information regarding a region including other than a face of a retrieval target person is extracted, a second image in which a collation result with the person region feature information indicates a match, and a facial region is detected, and result information indicating a collation result between face information stored in a storage unit and face information extracted from the facial region, and a display processing unit (130) that displays at least two of the first image, the second image, and the result information on an identical screen.

Abstract: An information processing apparatus (100) includes an acquisition unit (122) that acquires a first image from which person region feature information regarding a region including other than a face of a retrieval target person is extracted, a second image in which a collation result with the person region feature information indicates a match, and a facial region is detected, and result information indicating a collation result between face information stored in a storage unit and face information extracted from the facial region, and a display processing unit (130) that displays at least two of the first image, the second image, and the result information on an identical screen.

Abstract: A computer-implemented method for surface modeling includes: receiving one or more polarization raw frames of a surface of a physical object, the polarization raw frames being captured with a polarizing filter at different linear polarization angles; extracting one or more first tensors in one or more polarization representation spaces from the polarization raw frames; and detecting a surface characteristic of the surface of the physical object based on the one or more first tensors in the one or more polarization representation spaces.

Abstract: A method includes receiving image data associated with an image of a roadway including a crosswalk, generating a plurality of different characteristics of the image based on the image data, determining a position of the crosswalk on the roadway based on the plurality of different characteristics, the position including a first boundary and a second boundary of the crosswalk in the roadway, and providing map data associated with a map of the roadway, the map data including the position of the crosswalk on the roadway in the map. The plurality of different characteristics include a classification of one or more elements of the image, a segmentation of the one or more elements of the image, and one or more angles of the one or more elements of the image with respect to a line in the roadway.

Abstract: Embodiments described herein include radio frequency (RF) switches that may provide increased power handling capability. In general, the embodiments described herein can provide this increased power handling by equalizing the voltages across transistors when the RF switch is open. Specifically, the embodiments described herein can be implemented to equalize the source-drain voltages across each field effect transistor (FET) in a FET stack that occurs when the RF switch is open and not conducting current. This equalization can be provided by using one or more compensation circuits to couple one or more gates and transistor bodies in the FET stack in a way that at least partially compensates for the effects of parasitic leakage currents in the FET stack. In addition, multiple FET stacks are implemented in parallel in at least some switch branches to improve settling time for the branch.

Abstract: In some examples, a method may include receiving retroreflected light that indicates at least one retroreflective property of a retroreflective article, wherein retroreflected light is captured at a first distance. The method may include determining a first set of information based at least in part on the at least one retroreflective property of the retroreflective article. The method may include receiving, from the light capture device, an image that includes at least one object, wherein the image is captured at a second distance. The method may include determining, based at least in part on the spatially resolvable property, a second set of information that corresponds to the object in the image. The method may include performing, by a computing device, at least one operation based at least in part on the second set of information.

Abstract: An energy efficient protocol for a communication network made up of a network of wireless communication nodes is disclosed. To reduce the amount of energy consumed by the nodes, the nodes operate in a reduced power duty cycle acquisition mode of operation in which the nodes cycle between a low power standby state and a higher power detection state. The nodes are forced to transition out of the duty cycle acquisition mode in response to detection of a triggering event when in the detection state. The operating parameters of the reduced power duty cycle acquisition mode can be modified based on current operating conditions on the network.

Abstract: Systems and methods provide on-demand network slicing to support testing of customer use cases A test network management system receives customer parameters for a use case in a production network. The customer parameters include an identifier for a user equipment (UE) device to be tested with the use case. The test network management system provides, to the UE device, configuration information to associate the UE device with a test mode network segment of the production network. A network device in the production network may receive a registration request, from the UE device, that includes the configuration information. Based on the configuration information, the network device blocks the UE device from accessing the production network. Instead, the test network management system initiates provisioning of the test mode network segment for the UE device; and the network device redirects the registration request to the test mode network segment.

Abstract: Aspects herein include filter systems including short-range wireless tracking features to detect insertion and/or removal of filter elements from filter systems. In an embodiment, a filtration system is included having a housing including a fluid inlet and a fluid outlet. The housing can define an internal volume. A first filter element can be removably disposed within the housing. A short-range wireless communication tag can be associated with the first filter element. A short-range wireless communication reader can be associated with the housing, the reader configured to wirelessly send data to and receive data from the tag when the reader and the tag are at a distance that is less than or equal to a maximum communication distance. Removal of the first filter element from the housing can cause the distance between the tag and the reader to exceed the maximum communication distance. Other embodiments are also included herein.

Abstract: A method for detecting comparison persons 7 to a search person 4, wherein a plurality of classification persons 3 is classified by extracting values W1,W2,W3 for classification features K1,K2,K3 from classification images 2 of the classification persons 3, the classification being ambiguous in such a way that the classification does not enable a unique identification of any of the classification persons 3, wherein during a search for a search person 4 using a search image 5 by a comparison of values of search features from the search image 5 with values W1,W2,W3 of classification features K1,K2,K3, at least two classification persons 3 are output as comparison persons 7.

Abstract: An operation management system is disclosed. The operation management system may receive a video stream from a wearable device of a user that is performing an operation in a physical environment. The operation management system may process, using an operation performance model, a set of frames of the video stream that indicates a state of a performance of the operation by the user. The operation management system may determine, based on the state of the performance by the user, a next task of the operation. The operation management system may configure display data that is associated with a physical object that is associated with the next task. The display data may be associated with an indicator that identifies the physical object and/or task information associated with performing the next task. The operation management system may provide the display data to the wearable device.

Abstract: A method of processing image data in a connectionist network includes: determining, a plurality of offsets, each offset representing an individual location shift of an underlying one of the plurality of output picture elements, determining, from the plurality of offsets, a grid for sampling from the plurality of input picture elements, wherein the grid comprises a plurality of sampling locations, each sampling location being defined by means of a respective pair of one of the plurality of offsets and the underlying one of the plurality of output picture elements, sampling from the plurality of input picture elements in accordance with the grid, and transmitting, as output data for at least a subsequent one of the plurality of units of the connectionist network, a plurality of sampled picture elements resulting from the sampling, wherein the plurality of sampled picture elements form the plurality of output picture elements.

Abstract: Embodiments described herein provide for system and methods to crowdsource the location of wireless devices and accessories that lack a connection to a wide area network. One embodiment provides for a data processing system configured to perform operations comprising loading a user interface on an electronic device, the user interface to enable the determination of a location of a wireless accessory that is associated with the electronic device, generating a set of public keys included within a signal broadcast by the wireless accessory, the signal broadcast during a first period, sending the set of public keys to a server with a request to return data that corresponds with a public key in the set of public keys, decrypting the location data using a private key associated with the public key, and processing the location data to determine a probable location for the wireless accessory.