Abstract: Methods and systems for assisted lane entrance are disclosed. In some aspects, a method of assisting movement of a vehicle from one lane to another, includes detecting an entrance to a restricted access lane within a threshold distance in front of the vehicle, determining entrance parameters for the restricted access lane based, at least in part, on a position of the entrance relative to a position of the vehicle, and generating an output signal based on the entrance parameters.

Abstract: An object tracking device includes a short-term processing portion and a long short-term processing portion that are implemented by circuitry and work in a collaborative manner to track an object. The short-term processing portion includes a filter that tracks the object based on short-term memory and spatiotemporal consistency. The long short-term processing portion performs key-point matching-tracking and estimation based on a key-point database in order to track the object. A controller determines an output of the object tracking device based on the processing conducted by the short-term and long short-term processing portions of the tracking device, respectively.

Abstract: Systems and methods for determining flows by acquiring a video of the flows with a camera, wherein the flows are pedestrians in a scene. The video includes a set of frames, wherein motion vectors are extracted from each frame in the set, and a data matrix is constructed from the motion vectors in the set of frames. A low rank Koopman operator can be determined from the data matrix and a spectrum of the low rank Koopman operator can be analyzed to determine a set of Koopman modes. Then, the frames are segmented into independent flows according to a clustering of the Koopman modes.

Abstract: A radiographic image which is captured by irradiating a subject with radiation is acquired. A body thickness information acquisition unit acquires body thickness information of a subject. The radiographic image may be analyzed to acquire the body thickness information. A noise removal unit removes quantum noise included in the radiographic image on the basis of the body thickness information, using a filtering process using, for example, a smoothing filter.

Abstract: The disclosure relates to recognizing data such as items or entities in content. In some aspects, content may be received and feature information, such as face recognition data and voice recognition data may be generated. Scene segmentation may also be performed on the content, grouping the various shots of the video content into one or more shot collections, such as scenes. For example, a decision lattice representative of possible scene segmentations may be determined and the most probable path through the decision lattice may be selected as the scene segmentation. Upon generating the feature information and performing the scene segmentation, one or more items or entities that are present in the scene may be identified.

Abstract: Some aspects of the invention relate to a mobile apparatus including an image sensor configured to convert an optical image into an electrical signal. The optical image includes an image of a vehicle license plate. The mobile apparatus includes a license plate detector configured to process the electrical signal to recover information from the vehicle license plate image. The mobile apparatus includes an interface configured to transmit the vehicle license plate information to a remote apparatus and receive an estimated value for a vehicle corresponding to the vehicle license plate in response to the transmission.

Abstract: Some aspects of the invention relate to a mobile apparatus including an image sensor configured to convert an optical image into an electrical signal. The optical image includes an image of a vehicle license plate. The mobile apparatus includes a license plate detector configured to process the electrical signal to recover information from the vehicle license plate image. The mobile apparatus includes an interface configured to transmit the vehicle license plate information to a remote apparatus and receive an insurance quote for a vehicle corresponding to the vehicle license plate in response to the transmission.

Abstract: Innovations in rendering of high dynamic range (“HDR”) content are described. A playback system can adjust a tone mapping function used when rendering the HDR content, thereby improving quality when rendering the HDR content. For example, the playback system includes decision logic, which is configured to receive summary information (e.g., histogram information) for sample values of a picture of HDR content, and set a tone mapping function based at least in part on the summary information. The tone mapping function can be selected from among multiple available tone mapping functions, and parameters of the selected tone mapping function can be determined based at least in part on the summary information. A tone mapper is configured to apply tone mapping to input values for the sample values of the picture of HDR content, according to the tone mapping function, and thereby produce output values.

Abstract: Some aspects of the invention relate to a mobile apparatus including an image sensor configured to convert an optical image into an electrical signal. The optical image includes an image of a vehicle license plate. The mobile apparatus includes a license plate detector configured to process the electrical signal to recover information from the vehicle license plate image. The mobile apparatus includes an interface configured to transmit the vehicle license plate information to a remote apparatus and receive a listing corresponding to another vehicle in response to the transmission.

Abstract: A method, system and computer program product for ensuring a desired distribution of images in a multimedia document (e.g., yearbook, slideshow). A desired distribution of facial signatures in a multimedia document to be created by the user is received. Upon receiving an image to be added to the multimedia document by the user, a facial signature for a face detected in the image is generated. The current number of instances of the facial signature in the multimedia document is then determined. A determination is then made as to whether the current number of instances of the facial signature meets the desired distribution. An indication is then provided to the user as to whether the current number of instances of the facial signature meets or does not meet the desired distribution. In this manner, the user can ensure a desired distribution of images in the multimedia document.

Abstract: Some aspects of the invention relate to a mobile apparatus including an image sensor configured to convert an optical image into an electrical signal. The optical image includes an image of a vehicle license plate. The mobile apparatus includes a license plate detector configured to process the electrical signal to recover information from the vehicle license plate image. The mobile apparatus includes an interface configured to transmit the vehicle license plate information to a remote apparatus and receive a location of a vehicle service center corresponding to the vehicle license plate image in response to the transmission.

Abstract: Architecture that enables the identification of entities such as people and content in live broadcasts (e.g., streaming content (e.g., video) of live events) and non-live presentations (e.g., movies), in realtime, using recognition processes. This can be accomplished by extracting live data related to a live event. With respect to people entities, filtering can be performed to identify the named (people) entities from the extracted live data, and trending topics discovered as relate to the named entities, as associated with the live event. Multiple images of the named entities that capture the named entities under different conditions are captured for the named entities. The images are then processed to extract and learn facial features (train one or more models), and facial recognition is then performed on faces in the video using the trained model(s).

Abstract: Some aspects of the invention relate to a mobile apparatus including an image sensor configured to convert an optical image into an electrical signal. The optical image includes an image of a vehicle license plate. The mobile apparatus includes a license plate detector configured to process the electrical signal to recover information from the vehicle license plate image. The mobile apparatus includes an interface configured to transmit the vehicle license plate information to a remote apparatus and receive a vehicle identification number corresponding to the vehicle license plate image in response to the transmission.

Abstract: System and methods for monitoring the growth of an aquatic plant culture and detecting real-time characteristics associated with the aquatic plant culture aquatic plants. The systems and methods may include a control unit configured to perform an analysis of at least one image of an aquatic plant culture. The analysis may include processing at least one collected image to determine at least one physical characteristic or state of an aquatic plant culture. Systems and methods for distributing aquatic plant cultures are also provided. The distribution systems and methods may track and control the distribution of an aquatic plant culture based on information received from various sources. Systems and methods for growing and harvesting aquatic plants in a controlled and compact environment are also provided. The systems may include a bioreactor having a plurality of vertically stacked modules designed to contain the aquatic plants and a liquid growth medium.

Abstract: A method of generating a text line classifier including generating text line samples by use of a present terminal system font reservoir. The method also includes extracting features from the text line samples and pre-stored marked-up samples. The method further includes training models by use of the extracted features to generate a text line classifier for recognizing text regions. With the system font reservoir being utilized for generating text line samples, the generated text line classifiers can target different scenes or different requirements for text region recognition with a high degree of applicability and wide application in addition to ease of implementation. Together with the combinational use of the marked up samples for extracting features from the text line samples, the generated text line classifiers provide for enhanced classification efficiency and accuracy.

Abstract: Techniques and devices for post-processing time-lapse videos are described. The techniques include obtaining an input time-lapse sequence of frames and determining a visual metric value, e.g., average luminance, for each frame. A curve of best fit may then be determined for the visual metric values of the frames. The visual metric values, e.g., the average luminance values, of the plurality of frames may then be adjusted, e.g., by adjusting the visual metric values of each frame to be equal to the corresponding value determined by the curve of best fit. Some embodiments include further adjusting the visual metric values to be equal to a weighted average of the adjusted visual metric values for adjacent frames in the time-lapse sequence. Finally, a visual characteristic of the frames, e.g., an image histogram, may be adjusted based on the frame's determined adjusted visual metric value, and an output time-lapse sequence may be generated.

Abstract: A verification method for people counting includes steps of displaying a people counting video by a display device, wherein the people counting video shows an entry and exit boundary and an accumulated number of persons; when at least one person exists in the people counting video, displaying an initial position and a current position of each of the at least one person by the display device; determining whether each of the at least one person passes across the entry and exit boundary according to the initial position and the current position of each of the at least one person by a user, so as to determine whether the accumulated number of persons is incorrect; and when the user determines that the accumulated number of persons is incorrect, receiving a modified number of persons from the user by an input device.

Abstract: In the present invention are a method and apparatus for processing a block to be processed of a urine sediment image. The method comprises: dividing a block to be processed into a plurality of grids; calculating an n-dimensional local feature vector of each grid of the plurality of grids, where n is a positive integer; in the block to be processed, merging at least two adjacent grids of the plurality of grids into an intermediate block; calculating an intermediate block merging feature vector of the intermediate block; according to a predetermined combination rule, combining the intermediate block merging feature vectors obtained for different intermediate blocks of the block to be processed into a general combination feature vector of the block to be processed; and by way of taking the general combination feature vector as a feature in a feature set of block processing, processing the block to be processed.

Abstract: Some aspects of the invention relate to a mobile apparatus including an image sensor configured to convert an optical image into an electrical signal. The optical image includes an image of a vehicle license plate. The mobile apparatus includes a license plate detector configured to process the electrical signal to recover information from the vehicle license plate image. The mobile apparatus includes an interface configured to transmit the vehicle license plate information to a remote apparatus and receive an insurance quote for a vehicle corresponding to the vehicle license plate in response to the transmission.

Abstract: Provided in the present invention are a method and apparatus for processing a block to be processed of a urine sediment image. The method comprises: calculating a variable number of local feature vectors of a block to be processed, wherein the local feature vector is a vector representing a feature of a local location of the block to be processed; classifying the variable number of local feature vectors into a fixed number of clusters so as to obtain a statistical histogram vector of the fixed number of clusters of the block to be processed, wherein the statistical histogram vector reflects the statistical distribution of the variable number of local feature vectors in the fixed number of clusters; and taking the statistical histogram vector as a feature in a feature set of block processing and processing the block to be processed.