Abstract: There is provided a moving object detection technique capable of improving accuracy of detecting a moving object from video photographed by a moving camera. A moving object detection apparatus 10A according to an aspect of the present disclosure is provided with: a receiving portion 11 that receives video taken by an image capturing apparatus provided in a mobile body; a first calculation portion 13 that calculates first moving-object scores based on a motion of one or more pixels of image included in the video; a second calculation portion 15 that calculates second moving-object scores based on a background model and the image, wherein the background model is updated based on the image and the motions of the pixels; and a detection portion 16 that detects a moving object from the image based on the first scores and the second scores.

Abstract: Provided is a method, performed by a device, of processing an image, the method including tracking a movement of a user wearing the device and generating movement information of the user, the movement information being about a movement occurring between a previous time when a first image was rendered and a current time when a second image is rendered; selecting at least one pixel from among a plurality of pixels comprised in the first image, based on the generated movement information and a location of a target pixel comprised in the second image; and changing a value of the target pixel by blending a value of the selected at least one pixel with the value of the target pixel according to a preset weight.

Abstract: [Object] To analyze a strain of a biological sample more accurately. [Solution] Provided is an information processing device including: a setting unit configured to set at least one region of interest from one captured image constituting a dynamic image for a biological sample; an analysis object specifying unit configured to specify an analysis object for the at least one region of interest; a detection unit configured to detect a motion of the analysis object in the dynamic image; and an analysis unit configured to analyze a strain of the biological sample related to the at least one region of interest on a basis of the detected motion of the analysis object.

Abstract: Provided are an image stabilizing apparatus and method thereof. The image stabilizing apparatus performs image stabilization by using both an image sensor and a motion sensor. Image distortion and movement are stably corrected by using both the position of a feature point, which is extracted by the image sensor and image processing, and the movement position of the feature point, which is predicted by the motion sensor.

Abstract: A better rate distortion ratio is achieved by making interrelationships between coding parameters of different planes available for exploitation for the aim of redundancy reduction despite the additional overhead resulting from the need to signal the inter-plane prediction information to the decoder. In particular, the decision to use inter plane prediction or not may be performed for a plurality of planes individually. Additionally or alternatively, the decision may be done on a block basis considering one secondary plane.

Abstract: A method and system for determination of geometric features in an object is provided. The method includes receiving at least one geometric feature response to an ultrasound beam incident on the object. The incident ultrasound beam is produced from one of a plurality of ultrasound transducers. Further, a volumetric representation of the object is generated based on a plurality of object parameters. The volumetric representation of the object and a plurality of transducer parameters are used to generate a predicted beam traversal path in the object. The predicted beam traversal path is utilized to generate a temporal map of predicted time of flight geometric feature response to the ultrasound beam. A position on the volumetric representation of the object is determined as the location of the geometric feature, when the received geometric feature response is equivalent to the predicted time of flight geometric feature response corresponding to the position.

Abstract: An information processing apparatus includes a processor that detects positions of ball candidates from a plurality of time-series image frames. The processor adds a position of a second ball candidate to a second image frame subsequent to a first image frame based on a position of a first ball candidate and movement definition information. The first ball candidate is detected from the first image frame. The movement definition information defines a characteristic of a movement of a ball. The processor generates a plurality of trajectory candidates by combining a plurality of ball candidates detected from image frames of different times. The processor evaluates the plurality of trajectory candidates to determine a ball trajectory. The processor interpolates, when the ball trajectory is interrupted, between a starting point and an ending point of the interruption with a trajectory of a first person who moves from the starting point to the ending point.

Abstract: A single-chip solution with smart recognition by feature extraction of embedded image sensor, which provides an image sensor that performs image recognition. The chip combines an image sensor, an image preprocessor, a motion detector, a scaler array, a feature extractor, a microcontroller, and memory onto a single silicon die. Only required external non-passive component is a serial flash storage device. The motion module detects object in motion. The data is fed back to sensor for optimal exposure on object in motion. The array of image scalers crops areas of interest from input. Cropped images are extracted by the HOG feature extractor into feature vectors. Feature vectors are compared against pre-trained for image recognition, or used to train the system to recognize new images. And the microcontroller can take the classifier result and perform application-specific tasks with it to become a smart application providing excellent progressive and economic value.

Abstract: A technique of tracking objects with high accuracy even in an environment where the objects largely overlap with each other is provided. An image processing apparatus includes a detecting unit configured to detect an object region from an input image, an estimating unit configured to estimate a number of objects included in the detected object region, and a tracking unit configured to track objects included in the object region using the estimated number of objects.

Abstract: A sensor system is disclosed, which includes a sensor configured to measure electromagnetic energy levels received from skin of a human subject not in contact with the sensor; a data processing unit configured to determine multiple heart rate metrics of the human subject from the electromagnetic energy levels measured by the sensor; and an output device. The output device is configured to indicate a physiological characteristic of the human subject determined from the multiple heart rate metrics of the human subject determined by the data processing unit.

Abstract: One or more motion vectors is specified in ascending order of a difference between a pixel value at a position C in I1 [lv] and a pixel value at a position separated, in accordance with a corresponding motion vector, from the position C in I2 [lv] among motion vectors at a plurality of positions with reference to the position C in flow? [lv+1]. A flow [lv] is generated using flow?[lv+1] including, as an element at the position C, one motion vector based on the one or more motion vectors, I1 [lv], and I2 [lv].

Abstract: A better rate distortion ratio is achieved by making interrelationships between coding parameters of different planes available for exploitation for the aim of redundancy reduction despite the additional overhead resulting from the need to signal the inter-plane prediction information to the decoder. In particular, the decision to use inter plane prediction or not may be performed for a plurality of planes individually. Additionally or alternatively, the decision may be done on a block basis considering one secondary plane.

Abstract: A method of measuring patient position by a patient monitoring system includes providing a first position sensor attachable to a portion of the patient, and providing a hub device that includes a calibration position sensor. A first calibration position measurement is received from the calibration position sensor while the hub device is aligned with the portion of the patient where the first position sensor is attached. A first patient position measurement is received from the first position sensor, and then a calibration map is determined for the first position sensor based on a difference between the first calibration position measurement and the first patient position measurement. Position measurement data is then received from the first position sensor, and a patient position is determined based on the position measurement data and the calibration map.

Abstract: Aspects of the subject application may include, for example, identifying FOV and OOS tiles of the video content. The FOV and OOS tiles are received from a video server. The FOV and OOS tiles are encoded using AVC and a first layer of SVC, respectively. Further embodiments include providing the FOV and OOS tiles for presentation on a display, detecting a change in a field of vision, and identifying other FOV tiles of the video content, which comprise a portion of the OOS tiles. Also, embodiments include requesting the portion of the OOS tiles and receiving the portion of the OOS tiles from the video server over the communication network, which are encoded using an enhancement layer of SVC and then provided, to the display, according the enhancement layer in conjunction with the providing of the OOS tiles according to the first layer. Other embodiments are described herein.

Abstract: A favorable merging or grouping of simply connected regions into which the array of information samples is sub-divided, is coded with a reduced amount of data. To this end, a predetermined relative locational relationship is defined enabling an identifying, for a predetermined simply connected region, of simply connected regions within the plurality of simply connected regions which have the predetermined relative locational relationship to the predetermined simply connected region. Namely, if the number is zero, a merge indicator for the predetermined simply connected region may be absent within the data stream. In other embodiments, spatial sub-division is performed depending on a first subset of syntax elements, followed by combining spatially neighboring simply connected regions depending on a second subset of syntax elements, to obtain an intermediate sub-division.

Abstract: A system for detecting motion in one or more images of a video feed captured by an image capture device. The system collects the multiple images of the video feed and segments each image into multiple portions or cells. Multiple cell groups are determined based on the images, with each cell group including information relating to contents of set of a common portion of the multiple images. A difference metric is calculated for each of the cell groups and at least one level of change of values of the difference metric is determined. The at least one level of change is data representing the video feed that is compared with a still-scene data model associated with the image capture device to determine a respective probability that each of the cell groups includes motion. Motion is identified for those cell groups that have a probability greater than or equal to a threshold value. The system generates a transformed video feed including the video feed and a visual indication of the motion.

Abstract: Systems and methods are disclosed for generating vehicle insurance rates based on driver-independent variables and/or driver-dependent variables. Vehicle insurance rates may additionally or alternatively be based on changes in the level of autonomy of vehicles. In some embodiments, a density of vehicles near a target vehicle may be tracked. Vehicle insurance rates may be determined based on the vehicle density. Furthermore, systems and methods are disclosed for analyzing a driver's use of autonomous vehicle features and/or the driver's maintenance of the autonomous vehicle. The driver may also be taught certain driving skills by enabling vehicle teaching features. The driver's response to these teaching features may be monitored, and a reward or recommendation may be generated and provided to the driver based on the driver's response.

Abstract: The technology relates to detecting and responding to processions. For instance, sensor data identifying two or more objects in an environment of a vehicle may be received. The two or more objects may be determined to be disobeying a predetermined rule in a same way. Based on the determination that the two or more objects are disobeying a predetermined rule, that the two or more objects are involved in a procession may be determined. The vehicle may then be controlled autonomously in order to respond to the procession based on the determination that the two or more objects are involved in a procession.

Abstract: Digital photographing apparatus, methods of controlling the same, and computer-readable storage medium to increase success rates in panoramic photography are disclosed. A method of controlling a digital photographing apparatus is provided that includes initiating panoramic photography, and providing a capture guide when an image is captured during the panoramic photography.

Abstract: To enhance the accuracy of a conversion coefficient detected from a plurality of images captured while finely moving an in-focus position, an image processing apparatus includes a detection unit configured to detect feature points from a plurality of images having different in-focus positions, and a combining unit configured to calculate a conversion coefficient for alignment using the feature points and perform combining processing based on the conversion coefficient. The combining unit calculates a conversion coefficient of a second image in the plurality of images with respect to a first image in the plurality of images based on a conversion coefficient calculated using the feature points detected from the first image and a third image in the plurality of images.

Abstract: A surveillance method using multi-dimensional sensor data for use in a surveillance system is provided. The surveillance system includes a plurality of sensors installed within a scene, and the plurality of sensor are classified into a plurality of types. The surveillance method includes the steps of: obtaining each type of sensor data from the scene using the sensors; performing a local-object process on each type of sensor data to generate local-object-feature information for each type; performing a global-object process according to the local-object-feature information of each type to generate global-object-feature information; and performing a global-object recognition process on the global-object-feature information to generate a global-recognition result.

Abstract: A vehicle driving control apparatus includes an object detection unit configured to detect an object located outside a vehicle; and at least one processor configured to provide a first control signal and a second control signal based on information regarding the object detected by the object detection unit. The at least one processor provides the first control signal and the second control signal by: based on the information regarding the object, providing the first control signal to cause one of an increase or a decrease in a speed of the vehicle during a first time period; and based on the information regarding the object and based on the first control signal provided during the first time period, providing the second control signal to cause the other of the increase or the decrease in the speed of the vehicle during a second time period.

Abstract: A system and method for tagging an image of an individual in a plurality of photos is disclosed herein. A feature vector of an individual is used to analyze a set of photos on a social networking website such as www.facebook.com to determine if an image of the individual is present in a photo of the set of photos. Photos having an image of the individual are tagged preferably by listing a URL or URI for each of the photos in a database.

Abstract: A method for calculating the motion data of the head of a driver of a transportation vehicle wherein the driver is wearing a pair of data glasses. The data glasses are equipped with at least one glasses measurement unit which detects the movements of the head of the driver. The transportation vehicle is equipped with a transportation vehicle measurement unit which detects at least the accelerations of the transportation vehicle. The measured accelerations of the transportation vehicle are transferred wirelessly to the data glasses. The calculation of the head pose is carried out in a special processor unit of the data glasses which includes an implementation of a Kalman filter in which the motion data of the glasses measurement unit, corrected by the motion data of the transportation vehicle measurement unit, are merged with the motion data of an additional glasses measurement unit.

Abstract: A method and a system are provided for monitoring driving conditions. The method includes receiving video data comprising video frames from one or more sensors where the video frames may represent an interior or exterior of a vehicle, detecting and recognizing one or more features from the video data where each feature is associated with at least one driving condition, extracting the one or more features from the video data, developing intermediate features by associating and aggregating the extracted features among the extracted features, and developing a semantic meaning for the at least one driving condition by utilizing the intermediate features and the extracted one or more features.

Abstract: According to an embodiment, a detection device includes a camera, a memory, and processor circuitry. The camera is connected to an internal bus and configured to acquire an image including an area in which a mobile body is movable. The memory is connected to the internal bus and configured to store data and a program. The processor circuitry is connected to the internal bus and configured to detect at least the area, a mark on the area, and a person, from the image, calculate a first distance between the person and a position of the device when the person is in the area, and set a range according to a result of the detection and the first distance.

Abstract: There is provided a moving object detection technique capable of improving accuracy of detecting a moving object from video photographed by a moving camera. A moving object detection apparatus 10A according to an aspect of the present disclosure is provided with: a receiving portion 11 that receives video taken by an image capturing apparatus provided in a mobile body; a first calculation portion 13 that calculates first moving-object scores based on a motion of one or more pixels of image included in the video; a second calculation portion 15 that calculates second moving-object scores based on a background model and the image, wherein the background model is updated based on the image and the motions of the pixels; and a detection portion 16 that detects a moving object from the image based on the first scores and the second scores.

Abstract: A fingerprint registration method and an electronic device using the same are provided. The fingerprint registration method includes the following steps: sequentially obtaining a plurality of swipe frames of a fingerprint by a fingerprint sensor; sequentially analyzing the swipe frames by a processor to obtain a plurality of feature points; sequentially merging the feature points of the swipe frames into pre-registration data by the processor; sequentially updating a completion area displayed on a user interface by the processor according to relative position relationships of the feature points of the swipe frames; and determining whether the pre-registration data satisfies a preset completion condition by the processor, so as to determine whether to end the fingerprint registration.

Abstract: A tracking device includes: an imaging unit that inputs an image into an image input unit; a first moving body detection unit that calculates an optical flow and detects a position and a direction of movement of a moving body based on the calculated optical flow; a second moving body detection unit that detects a position and a direction of movement based on a plurality of overhead images generated; a third moving body detection unit that detects a position and a direction of movement by integrating detection results from the first and second moving body detection units; a tracked moving body confirmation unit that determines a moving body to be tracked based on detection results from the first to third moving body detection units; an estimation unit that estimates a future position and direction of movement; and a tracking unit that tracks the tracked moving body and identifies a position.

Abstract: There is provided a moving object detection technique capable of improving accuracy of detecting a moving object from video photographed by a moving camera. A moving object detection apparatus 10A according to an aspect of the present disclosure is provided with: a receiving portion 11 that receives video taken by an image capturing apparatus provided in a mobile body; a first calculation portion 13 that calculates first moving-object scores based on a motion of one or more pixels of image included in the video; a second calculation portion 15 that calculates second moving-object scores based on a background model and the image, wherein the background model is updated based on the image and the motions of the pixels; and a detection portion 16 that detects a moving object from the image based on the first scores and the second scores.

Abstract: A first motion vector detecting unit calculates a first matching error by detecting a first motion vector based on a first frame and a second frame. A second motion vector detecting unit calculates a second matching error by detecting a second motion vector based on the second frame and a third frame. A local determining unit determines whether a discontinuously moving object is present in a continuously moving background, based on an absolute difference value between the first motion vector and the second motion vector, and the first and second matching errors. An integrating unit integrates determination values for each block within a frame. A determining unit determines whether an image signal is a specific moving image in which the discontinuously moving object is present in a continuously moving background, based on a pattern of integrated values of at least two frames.

Abstract: A favorable merging or grouping of simply connected regions into which the array of information samples is sub-divided, is coded with a reduced amount of data. To this end, a predetermined relative locational relationship is defined enabling an identifying, for a predetermined simply connected region, of simply connected regions within the plurality of simply connected regions which have the predetermined relative locational relationship to the predetermined simply connected region. Namely, if the number is zero, a merge indicator for the predetermined simply connected region may be absent within the data stream. In other embodiments, spatial sub-division is performed depending on a first subset of syntax elements, followed by combining spatially neighboring simply connected regions depending on a second subset of syntax elements, to obtain an intermediate sub-division.

Abstract: The disclosure is related to a method and a system for detecting a video scan type. In the method, a first frame and a second frame are firstly extracted from a video. The scan lines of each frame can be divided into a top field and a bottom field. A first zipper index of the combination of the top field of the first frame and the bottom field of the second frame is obtained. Further, a second zipper index of the combination of the bottom field of the first frame and the top field of the second frame is also obtained. A zipper index difference between the first zipper index and the second zipper index is calculated and is provided to determine the video scan type as an interlaced-scan video or a progressive-scan video.

Abstract: Systems and methods for generating cartoon images or emojis of an individual from a photograph of the individual is described. The systems and methods involve transmitting a picture of the individual, such as one taken with a mobile device, to a server that generates a set of emojis showing different emotions of the individual from the picture. The emojis are then transmitted to the mobile device and are available for use by the user in messaging applications, emails, or other electronic communications. The emojis can be added to the default keyboard of the mobile device or be generated in a separate emoji keyboard and be available for selection by the user.

Abstract: A control device includes a unit that specifies, among a plurality of pieces of image data generated by detection means in accordance with a detection result of radiated rays that have passed through a subject, the amount of change in a relative position of the subject with respect to the detection means during a period from a generation timing of immediately preceding image data, which is generated immediately before target image data, to a generation timing of the target image data, a unit that sets the amount of radiated rays with which irradiation means performs irradiation in accordance with the amount of change, a unit that determines a composition ratio in accordance with the amount of change, and a unit that reduces noise of the target image data by combining, in accordance with the composition ratio, image data generated before the target image data with the target image data.

Abstract: In one embodiment, a method includes receiving current data, the current data including time series data representing a plurality of time instances. The method includes storing at least a recent portion of the current data in a buffer. The method includes reducing the dimensionality of the current data to generate dimensionality-reduced data. The method includes generating a reconstruction error based on the dimensionality-reduced data and a plurality of neural network metrics. At least one of a size of the recent portion of the current data stored in the buffer or an amount of the reducing the dimensionality of the current data is based on the reconstruction error.

Abstract: The present invention provides a method of decoding a video signal using graph-based transform comprising the steps: extracting prediction unit partition information of a current coding unit from the video signal; obtaining a graph-based transform kernel from predetermined table information based on the prediction unit partition information; and performing an inverse-transform of a transform unit using the graph-based transform kernel, wherein the graph-based transform kernel corresponds to at least one of the prediction unit partition information and an edge weight, and the edge weight is a predetermined value representing a correlation between pixels.

Abstract: A better rate distortion ratio is achieved by making interrelationships between coding parameters of different planes available for exploitation for the aim of redundancy reduction despite the additional overhead resulting from the need to signal the inter-plane prediction information to the decoder. In particular, the decision to use inter plane prediction or not may be performed for a plurality of planes individually. Additionally or alternatively, the decision may be done on a block basis considering one secondary plane.

Abstract: A computer-implemented method of providing time series data includes maintaining by a web server user account data for each of a plurality of user accounts. Each account is associated with a user. The method includes maintaining, and repeatedly updating, in normative formats, on a time series server, a set of time series. In some aspects, the method further includes, for each user having a user account, serving by the time series server a distinct time series name for each member of the set of time series in a web page over a wide area network to a client computer of the user for display in a browser thereof in such a manner that, when the given user graphically selects the name of a given one of the time series in the browser for invoking a functionality provided by the time series server, there is provided to the server by the browser a unique location identifier of an underlying location, of the selected time series, wherein data for the time series is stored on the server.

Abstract: Embodiments of the present disclosure provide an image data processing method, an image data processing apparatus, an electronic device and a storage medium. The image data processing method includes: during a preset first collecting time period, collecting regularly a plurality of first user images corresponding to a target user, and extracting first part image data in each of the plurality of first user images; recording position information of the first part image data in each of the plurality of first user images on a display interface; if it is determined that the target user is at a preset stable state, performing a statistical processing to obtain a total movement times corresponding to the first part image data within a preset statistical time period; and if the total movement times reaches a preset threshold, performing an image processing on second part image data on a current display interface.

Abstract: An automated electronic video surveillance system enables a high-resolution mega-pixel camera to capture high quality, detailed, magnified images at multiple locations, simultaneously with an overview of the whole scene. A preferred embodiment requiring no moving parts provides full 360-degree continuous viewing with up to 5× all-digital zoom capability. The system performs continuous surveillance and active resolution allocation in the form of a feedback control subsystem that dynamically allocates resources so that important details within a scene receive appropriate scrutiny, while uninteresting areas are imaged at a lower resolution.

Abstract: Disclosed herein are an electronic device and method. The electronic device includes a touch screen, at least one fingerprint sensor disposed on the touch screen, and a processor implementing the method, including controlling the touch screen to display one or more graphic objects, detecting attribute information of at least one graphic object associated with a fingerprint sensor disposed on at least a part of the touch screen from among the one or more graphic objects, activating an area of the fingerprint sensor based on the attribute information, the activated area of the fingerprint sensor corresponding to the at least one graphic object, and acquiring fingerprint information through the activated area of the fingerprint sensor.

Abstract: A propeller provided on an aerial vehicle may include a digital camera or other imaging device embedded into a surface of one of the blades of the propeller. The digital camera may capture images while the propeller is rotating at an operational speed. Images captured by the digital camera may be processed to recognize one or more objects therein, and to determine ranges to such objects by stereo triangulation techniques. Using such ranges, a depth map or other model of the surface features in an environment in which the aerial vehicle is operating may be defined and stored or used for any purpose. A propeller may include digital cameras or other imaging devices embedded into two or more blades, and may also use such images to determine ranges to objects by stereo triangulation techniques.

Abstract: A favorable merging or grouping of simply connected regions into which the array of information samples is sub-divided, is coded with a reduced amount of data. To this end, a predetermined relative locational relationship is defined enabling an identifying, for a predetermined simply connected region, of simply connected regions within the plurality of simply connected regions which have the predetermined relative locational relationship to the predetermined simply connected region. Namely, if the number is zero, a merge indicator for the predetermined simply connected region may be absent within the data stream. In other embodiments, spatial sub-division is performed depending on a first subset of syntax elements, followed by combining spatially neighboring simply connected regions depending on a second subset of syntax elements, to obtain an intermediate sub-division.

Abstract: Virtual reality-based apparatus that includes a memory device, a depth sensor and a modeling circuitry, captures a plurality of depth values of a first human subject from a single viewpoint using the depth sensor. The memory device stores a reference three dimensional (3D) human body model that comprises a mean body shape and a set of body shape variations. The modeling circuitry determines a first shape of the first human subject based on the plurality of depth values and generates a first deformed 3D human body model by deformation of the mean body shape. The modeling circuitry determines a first plurality of pose parameters for a first pose based on a plurality of rigid transformation matrices. The modeling circuitry generates a second deformed 3D human body model by deformation of a plurality of vertices and controls display of the second deformed 3D human body model as a reconstructed 3D model.

Abstract: A method and apparatus for receiving a depth frame from a depth sensor oriented towards an open end of a shipping container, the depth frame comprising a plurality of grid elements that each have a respective depth value, identifying one or more occlusions in the depth frame, correcting the one or more occlusions in the depth frame using one or more temporally proximate depth frames, and outputting the corrected depth frame for fullness estimation.

Abstract: The inventive method involves receiving as input a representation of an ordered set of two dimensional images. The ordered set of two dimensional images is analyzed to determine at least one first view of an object in at least two dimensions and at least one motion vector. The next step is analyzing the combination of the first view of the object in at least two dimensions, the motion vector, and the ordered set of two dimensional images to determine at least a second view of the object; generating a three dimensional representation of the ordered set of two dimensional images on the basis of at least the first view of the object and the second view of the object. Finally, the method involves providing indicia of the three dimensional representation as an output.

Abstract: Methods, systems, and devices are described for warless communications. An apparatus may identifying a living person by recording a heat image of a person's facial area and detecting a local heat inhomogeneity in a predetermined detection range of the heat image in order to identify the living person. Identifying the living person may include detecting a heat pattern in a predetermined detection range and comparing the detected heat pattern to a heat reference sample. The predetermined detection range may be detected based on a heat image geometry, using pattern matching, by comparing the heat image to a white light image of a living person, or by masking the heat image.

Abstract: An MKV interceptor includes a carrier vehicle (CV) that supports the deployment of M kill vehicles (KVs) and provides centralized acquisition and discrimination pre-ejection. Pre-ejection each KV acquires and transmits IR imagery, and possibly visible imagery, via an internal communication bus to a central processor on the CV. The central processor spatially registers the IR images from the different KVs, either directly from the IR images themselves or using the visible imagery, and sums the IR (and visible) images to form a registered spatially averaged IR image. This image has the same resolution but higher SNR than any one of the KV IR images. The central processor uses this registered spatially averaged image during pre-ejection acquisition and discrimination modes. The key benefit is the elimination of independent CV “sense capability”, which is large, heavy and expensive, and was required by either the “command guided” or “sharing” concepts.

Abstract: A computer-implemented method of providing time series data includes maintaining by a web server user account data for each of a plurality of user accounts. Each account is associated with a user. The method includes, for each user having a user account, serving by the web server a set of web pages configured to support uploading of time series data to the web server, including updates of such data from time to time; storing by the web server the uploaded time series data; and serving by the web server a set of web pages configured to present such data to such user. Related methods include a method for web-publishing the data, and loading the data into applications running locally. There is also provided a digital storage medium encoded with instructions that when loaded into a computer establish processes that implement any of these methods.