Abstract: System and methods are disclosed for rapid license plate reading. A first image having a first resolution may be generated. A location of a license plate in the first image may be detected. The license plate may be read from a second image in accordance with the location of the license plate. The second image may have a second resolution greater than the first resolution. In embodiments, reading the license plate may comprise tracking the license plate across a plurality of license plate images.

Abstract: An authentication system according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: track an object included in a video captured by a first capture device; detect a candidate for biometric authentication in the object being tracked; determine whether biometric authentication has been performed for the candidate based on a record of biometric authentication performed for the object being tracked; and perform the biometric authentication for the candidate based on a video of an authentication part of the candidate when the biometric authentication has not been performed for the candidate, the video of the authentication part being captured by a second capture device having a capture range including a part of a capture range of the first capture device.

Abstract: This application discloses a video classification model construction method and apparatus, a video classification method and apparatus, a device, and a medium.

Abstract: Systems, devices, and methods are provided for processing images using machine learning. Features may be obtained from an image using a residual network, such as ResNet-101. Features may be analyzed using a classification model such as K-nearest neighbors (K-NN). Features and metadata extracted from images may be used to generate other images. Templates may be used to generate various types of images. For example, assets from two images may be combined to create a third image.

Abstract: A server system is described. The server system includes at least one processor and at least one memory storing a plurality of instructions that, when executed by the at least one processor, causes the at least one processor to receive a plurality of machine learning (ML) models and ML model data from the plurality of mobile computing devices, where the ML model data includes metadata, and the ML model data excludes media. At least one group of the plurality of ML models is selected based on the metadata, each ML model of the at least one group tested, and a plurality of metrics is determined based on the ML models that were tested. Further, a set of ML models of the ML models that were tested is selected, and at least two ML models of the set of ML models are combined based on at least one parameter.

Abstract: A system including a respiration detection device configured to detect respiration of an individual within a defined environment regardless of a position of the individual within the defined environment wherein detection is performed at a location unobstructed by a physical barrier within the defined environment, a processor with non-transitory computer readable medium configured to evaluate respiration data from the respiration detection device to determine the individual based on a location of the individual within the defined environment and a notification device to provide notification when the individual is detected in the defined environment after at least one of a defined time period and a reduction in respiration. A method is also disclosed.

Abstract: The technology disclosed enables a user to optimize a sampling logic to increase the future sampling likelihood of those instances that are similar to the instances that the user believes are informative, and decrease the future sampling likelihood of those instances that are similar to the instances that the user believes are non-informative.

Abstract: The present disclosure relates to an image processing apparatus and method that make it possible to suppress increase of a prediction error. Image data is encoded by a method according to a type of pixel. For example, image data is encoded by a method according to whether the pixel is an image plane phase difference detection pixel or a normal pixel. Further, encoded data of image data is decoded by a method according to a type of pixel. For example, encoded data is decoded by a method according to whether the image is an image plane phase difference detection pixel or a normal pixel. The present technology can be applied, for example, to an image processing apparatus, an image encoding apparatus, an image decoding apparatus, an imaging device, an imaging apparatus, or the like.

Abstract: This invention provides a system and method that employs reduction in bandwidth and the amount of data stored, along with queuing of data, so that the significant and/or relevant shipboard visual information is detected and communicated continuously from the ship (or other remote vehicle/location) to shore without loss of useful/high-priority information and within the available bandwidth of that typical, available satellite link. The system and method supports remote configuration and management from shore to the ship over the same communications channel but in the reverse direction.

Abstract: An information processing apparatus that detects an object from an image, includes a determination unit configured to determine a boundary at which a movement of the object between partial regions in the image is estimated, the partial regions each including a plurality of objects, and an estimation unit configured to estimate movement information indicating a number of objects that have passed the boundary determined by the determination unit.

Abstract: Erroneous detection due to erroneous parallax measurement is suppressed to accurately detect a step present on a road. An in-vehicle environment recognition device 1 includes a processing device that processes a pair of images acquired by a stereo camera unit 100 mounted on a vehicle.

Abstract: Provided is a system including a record unit for recording identification information of an information terminal and appearance information of a moving object associated with the information terminal in association with each other. The system includes an acquisition unit for acquiring information representing an appearance of a moving object to be notified. The system includes an identification information specification unit for specifying the identification information recorded by the record unit in association with the appearance information matching the information acquired by the acquisition unit.

Abstract: A method includes receiving, from a sensing system of an autonomous vehicle (AV), image data including first image data and second image data. The method further includes determining, for a frame, whether an amount of image data matching between the first image data and the second image data satisfies a first threshold condition, in response to determining that the amount of image data matching satisfies a first threshold condition, identifying the frame as invalid, determining whether a number of consecutive frames determined to be invalid satisfies a second threshold condition, and in response to determining that the number of consecutive frames determined to be invalid satisfies the second threshold condition, generating a notification that the sensing system is outputting invalid data.

Abstract: An information insertion method is provided. In the method, background inclination information of a preset entity in a video frame to be inserted with information is acquired. The background inclination information is of a bearing surface of the preset entity in the video frame. At least one piece of foreground inclination information corresponding to at least one piece of multimedia information is acquired. An inclination difference between the background inclination information and each of the at least one piece of foreground inclination information is acquired, to obtain at least one piece of inclination difference information. Target multimedia information that meets an inclination difference condition is determined from the at least one piece of multimedia information according to the at least one piece of inclination difference information. The target multimedia information is inserted onto the bearing surface of the preset entity of the video frame to obtain a target video frame.

Abstract: Systems and methods for detecting and aligning land property boundaries on aerial imagery are provided. The system receives an aerial imagery having land properties. The system applies a feature encoder having a plurality of levels to the aerial imagery. A first level of the plurality of levels includes a convolution block and a discrete wavelet transform layer. The discrete wavelet transform layer decomposes an input feature tensor to the first level into a low-frequency band and a high-frequency band. The high-frequency band is cached and processed with side-convolutional blocks before the high-frequency band are passed to a feature decoder. The system applies the feature decoder to an output of the feature encoder based at least in part on one of inverse discrete wavelet transform layers. The system determines boundaries of the one or more land properties based at least in part on a boundary cross-entropy loss function.

Abstract: In an illustrative embodiment, systems and methods for automatically identifying positions of objects of interest using a vehicle-mounted sensor apparatus include obtaining images captured by imaging sensor(s) of the sensor apparatus during a time interval and analyzing the images to detect objects of interest. On detecting an object of interest, the systems and methods may calculate a geographic position corresponding to the object of interest and store a data record including an identifier of the object of interest, the geographic position, and a timestamp. The objects of interest may include urban fixtures, advertising materials, and/or vehicles. The systems and methods may be applied to identifying parking violations.

Abstract: Embodiments disclosed herein generally related to a method and system for customizing a customer experience. In one embodiment, a method is provided herein. A computing system receives from a computing device positioned in a facility one or more video streams. The one or more video streams capture a customer in the facility. The computing system identifying an identity of the customer by parsing the one or more video streams to identify one or more audio or visual cues of the customer. The computing system determines, based on the identity of the customer, that the customer has one or more previous transactions at the facility. The computing system predicts, based on the one or more previous transactions, a new transaction at the facility. The computing system notifies the computing device positioned in the facility in preparation of the new transaction.

Abstract: Described is a method for compressing measurement data of a volume which comprises an object, wherein a digital representation of the object comprising a plurality of image information items of the object is generated by the measurement. The method comprises: providing an analysis specification for at least one predetermined region in the measurement volume; determining the measurement data in the measurement volume; defining a subset of the measurement data which corresponds to the at least one predetermined region of the analysis specification; selecting at least one compression rate for the subset on the basis of the analysis specification; selecting a first compression method for a remainder of the measurement data outside the subset, the first compression method having a compression rate; compressing the subset with the selected at least one compression rate, and compressing the remainder of the measurement data by way of the first compression method.

Abstract: Aspects of the present disclosure provide techniques for image-based document search. Embodiments include receiving an image of a document and providing the image of the document as input to a machine learning model, where the machine learning model generates separate embeddings of a plurality of patches of the image of the document and the machine learning model generates an embedding of the image of the document based on the separate embeddings of the plurality of patches. Embodiments include determining a compact embedding of the image of the document based on applying a dimensionality reduction technique to the embedding of the image of the document generated by the machine learning model. Embodiments include performing a search for relevant documents based on the compact embedding of the image of the document. Embodiments include performing one or more actions based on one or more relevant documents identified through the search.

Abstract: A method for optimizing a process of displaying video streams with specified event receives video streams. The video streams are sequenced based on a specified arrangement role to from a video stream queue. By analyzing each video streams, whether each video stream includes a specified event is determined. If each video stream without the specified event, the video streams are outputted based on the video stream queue. If the video stream includes the specified event, the video stream with the specified event is adjusted to be priority in the video stream queue, and the video streams are outputted based on the updated video stream queue. The video streams with the specified event can be prioritized processed and focus. A video stream processing apparatus and a computer readable storage medium applying the method are also provided.