2085 results about "Spacetime" patented technology

An Internet-based method of and system for monitoring space-time coordinate information and biophysiological state information collected from an animate object moving along a course through the space-time continuum. The Internet-based system comprise a wireless GSU-enabled client network device affixed to the body of an animate object. The wireless device includes a global synchronization unit (GSU) for automatically generating time and space (TS) coordinate information corresponding to the time and space coordinate of the animate object with respect to a globally referenced coordinate system, as the animate object moves along a course through the space time continuum. The device also includes biophysiological state sensor affixed to the body of the animate object, for automatically sensing the biophysiological state of the animate object and generating biophysiological state information indicative of the sensed biophysiological state of the animate object along its course. The wireless device also includes a wireless date transmitter for transmitting the TS coordinate information and the biophysiological state information through free-space. A TS-stamping based tracking server receives the TS coordinate information and the biophysiological state information through in a wireless manner, and stores the same as the animate object moves along its course. An Internet information server serves Internet-based documents containing the collected TS coordinate and biophysiological state information. An Internet-enabled client system enables authorized persons to view the served Internet-based documents and monitor the collected TS coordinate and biophysiological state information, for various purposes.

A scheme for graphical user interface using a polygonal-line-shaped slider that enables a user to intuitively manipulate-and playback spatio-temporal media data such as video data and animation data without deteriorating the temporal continuity of the data in interactive manipulation and playback of the spatio-temporal media data is disclosed. In this scheme, the slider is composed of a polygonal line composed of at least one segment and a coordinate indicator that is moved along the polygonal line. Data corresponding to coordinates specified by the coordinate indicator is entered. The apparatus according to present invention stores the coordinates of vertexes of the polygonal line, stores input coordinates, maps the input coordinates onto a point on the polygonal line, and positions the coordinate indicator at the point.

A wearable system with a gestural interface for wearing on, for instance, the wrist of a user. The system comprises an ultrasonic transceiver array structure and may comprise a pico projector display element for displaying an image on a surface. User anatomical feature inputs are received in the form of ultrasound signals representative of a spatio-temporal cross-section of the wrist of the user by articulating wrist, finger and hand postures, which articulations are translated into gestures. Inputs from inertial and other sensors are used by the system as part of the anatomical feature posture identification method and device. Gestures are recognized using a mathematically-modeled, simulation-based set of biological metrics of tissue objects, which gestures are converted to executable computer instructions. Embodiments of the system disclosed herein may also be used to monitor biometric and health data over computer networks or using onboard systems.

A unified approach, a fusion technique, a space-time constraint, a methodology, and system architecture are provided. The unified approach is to fuse the outputs of monocular and stereo video trackers, RFID and localization systems and biometric identification systems. The fusion technique is provided that is based on the transformation of the sensory information from heterogeneous sources into a common coordinate system with rigorous uncertainties analysis to account for various sensor noises and ambiguities. The space-time constraint is used to fuse different sensor using the location and velocity information. Advantages include the ability to continuously track multiple humans with their identities in a large area. The methodology is general so that other sensors can be incorporated into the system. The system architecture is provided for the underlying real-time processing of the sensors.

A method, apparatus and software for diagnosing the state or condition of a human, animal or other living thing, which always generates physiological modulating signals having temporal-spatial organization, the organization having dynamic patterns whose structure is fractal, involving the monitoring of at least one physiological modulating signal and obtaining a set of temporal-spatial values of each of said physiological modulating signals, and processing the respective temporal-spatial values using linear and nonlinear tools to determine the linear and nonlinear characteristics established for known criteria to determine the state or condition of the person, being or living things, and to use this data for diagnosis, tracking, and treatment and developmental issues.

A space-time signal processing system with advantageously reduced complexity. The system may take advantage of multiple transmitter antenna elements and/or multiple receiver antenna element or multiple polarizations of a single transmitter antenna element and/or single receiver antenna element. The system is not restricted to wireless contexts and may exploit any channel having multiple inputs or multiple outputs and certain other characteristics. Multi-path effects in a transmission medium cause a multiplicative increase in capacity.

Spatio-temporal light field cameras that can be used to capture the light field within its spatio temporally extended angular extent. Such cameras can be used to record 3D images, 2D images that can be computationally focused, or wide angle panoramic 2D images with relatively high spatial and directional resolutions. The light field cameras can be also be used as 2D/3D switchable cameras with extended angular extent. The spatio-temporal aspects of the novel light field cameras allow them to capture and digitally record the intensity and color from multiple directional views within a wide angle. The inherent volumetric compactness of the light field cameras make it possible to embed in small mobile devices to capture either 3D images or computationally focusable 2D images. The inherent versatility of these light field cameras makes them suitable for multiple perspective light field capture for 3D movies and video recording applications.

Methods and systems detect objects of interest in a spatio-temporal signal. According to one embodiment, a system processes a digital spatio-temporal input signal containing zero or more foreground objects of interest superimposed on a background. The system comprises a foreground/background separation module, a foreground object grouping module, an object classification module, and a feedback connection. The foreground/background separation module receives the spatio-temporal input signal as an input and, according to one or more adaptable parameters, produces as outputs foreground/background labels designating elements of the spatio-temporal input signal as either foreground or background. The foreground object grouping module is connected to the foreground/background separation module and identifies groups of selected foreground-labeled elements as foreground objects. The object classification module is connected to the foreground object grouping module and generates object-level information related to the foreground object. The object-level information adapts the one or more adaptable parameters of the foreground/background separation module, via the feedback connection.

The invention relates to a Federated Kalman filtering-based method for fusing multilateration data and radar data, comprising seven processes: pretreatment, time and space registration, error correction, single-sensor line tracking or airborne trace interconnection and filtration, data association, data fusion as well as error estimation. On the basis of multiclass monitoring information, the technical scheme of the invention establishes data association mapping relations among all classes of targets, constructs a process method fusing the multilateration system data and the radar data, realizes deep fusion of all classes of information and comprehensive utilization on effective information, ensures high updating rate of a multilateration system and the whole precision of system monitoringwhen period is less than or equal to 1sec, reduces impact of radar measuring error on system monitoring precision, and significantly improves the tracking precision of the system.

Detection of an omitted process in an event having of a sequence of processes includes: receiving video of an action area; receiving transaction data regarding a transaction occurring at the action area; detecting at least two different actor motion states in the video; detecting an event based on the motion states; and detecting the omitted process based on the detected event and the transaction data.

This invention relates to methods of feature extraction from MPEG-2 and MPEG-4 compressed video sequences. The spatio-temporal compression complexity of video sequences is evaluated for feature extraction by inspecting the compressed bitstream and the complexity is used as a descriptor of the spatio-temporal characteristics of the video sequence. The spatio-temporal compression complexity measure is used as a matching criterion and can also be used for absolute indexing. Feature extraction can be accomplished in conjunction with scene change detection techniques and the combination has reasonable accuracy and the advantage of high simplicity since it is based on entropy decoding of signals in compressed form and does not require computationally expensive inverse Discrete Cosine Transformation (DCT).

The invention discloses a clustering method based on mobile object spatiotemporal information trajectory subsections. The clustering method based on mobile object spatiotemporal information trajectory subsections comprises the steps that the three attributes of time, speed and direction are introduced, and a similarity calculation formula of the time, speed and direction is provided for analyzing an internal structure and an external structure of a mobile object trajectory; firstly, according to the space density of the trajectory, the trajectory is divided into a plurality of trajectory subsections, then the similarities of the trajectory subsections are judged by calculating differences of the trajectory subjections on the space, time, speed and direction, finally, trajectory subsections in a non-significant cluster are deleted or are merged into adjacent significant clusters on the basis of a first cluster result, and therefore an overall moving rule is displayed on the clustering spatial form. According to the clustering method based on the mobile object spatiotemporal information trajectory subsections, the clustering result is improved, higher application value is provided, a space quadtree is adopted to conduct indexing on the trajectory subsections, clustering efficiency is greatly improved under the environment of a large-scale trajectory number set, and trajectories can be effectively clustered.

An object path prediction method, apparatus, and program and an automatic operation system that can secure safety even in situations that can actually occur are provided. For this purpose, a computer having a storage unit that stores the position of an object and the internal state including the speed of the object reads the position and internal state of the object from the storage unit, generates trajectories in a space-time consisting of time and space from changes of the positions that can be taken by the object with the passage of time based on the read position and internal state of the object, and predicts probabilistically paths of the object by using the generated trajectories.

A computer implemented method computer implemented method for deriving a fingerprint from video data is disclosed, comprising the steps of receiving a plurality of frames from the video data; selecting at least one key frame from the plurality of frames, the at least one key frame being selected from two consecutive frames of the plurality of frames that exhibiting a maximal cumulative difference in at least one spatial feature of the two consecutive frames; detecting at least one 3D spatio-temporal feature within the at least one key frame; and encoding a spatio-temporal fingerprint based on mean luminance of the at least one 3D spatio-temporal feature. The least one spatial feature can be intensity. The at least one 3D spatio-temporal feature can be at least one Maximally Stable Volume (MSV). Also disclosed is a method for matching video data to a database containing a plurality of video fingerprints of the type described above, comprising the steps of calculating at least one fingerprint representing at least one query frame from the video data; indexing into the database using the at least one calculated fingerprint to find a set of candidate fingerprints; applying a score to each of the candidate fingerprints; selecting a subset of candidate fingerprints as proposed frames by rank ordering the candidate fingerprints; and attempting to match at least one fingerprint of at least one proposed frame based on a comparison of gradient-based descriptors associated with the at least one query frame and the at least one proposed frame.

The invention relates to a space-time attention based video classification method, which comprises the steps of extracting frames and optical flows for training video and video to be predicted, and stacking a plurality of optical flows into a multi-channel image; building a space-time attention model, wherein the space-time attention model comprises a space-domain attention network, a time-domain attention network and a connection network; training the three components of the space-time attention model in a joint manner so as to enable the effects of the space-domain attention and the time-domain attention to be simultaneously improved and obtain a space-time attention model capable of accurately modeling the space-domain saliency and the time-domain saliency and being applicable to video classification; extracting the space-domain saliency and the time-domain saliency for the frames and optical flows of the video to be predicted by using the space-time attention model obtained by learning, performing prediction, and integrating prediction scores of the frames and the optical flows to obtain a final semantic category of the video to be predicted. According to the space-time attention based video classification method, modeling can be performing on the space-domain attention and the time-domain attention simultaneously, and the cooperative performance can be sufficiently utilized through joint training, thereby learning more accurate space-domain saliency and time-domain saliency, and thus improving the accuracy of video classification.

A spatio-temporal directional light modulator is introduced. This directional light modulator can be used to create 3D displays, ultra-high resolution 2D displays or 2D/3D switchable displays with extended viewing angle. The spatio-temporal aspects of this novel light modulator allow it to modulate the intensity, color and direction of the light it emits within an wide viewing angle. The inherently fast modulation and wide angular coverage capabilities of this directional light modulator increase the achievable viewing angle, and directional resolution making the 3D images created by the display be more realistic or alternatively the 2D images created by the display having ultra high resolution.

Disclosed is a method and system for object detection and tracking. Spatio-temporal information for a foreground/background appearance module is updated, based on a new input image and the accumulated previous appearance information and foreground/background information module labeling information over time. Object detection is performed according to the new input image and the updated spatio-temporal information and transmitted previous information over time, based on the labeling result generated by the object detection. The information for the foreground/background appearance module is repeatedly updated until a convergent condition is reached. The produced labeling result from objection detection is considered as a new tracking measurement for further updating on a tracking prediction module. A final tracking result may be obtained through the updated tracking prediction module, which is determined by the current tracking measurement and the previous observed tracking results. The tracking object location at the next time is predicted. The returned predicted appearance information for the foreground/background object is used as the input for updating the foreground and background appearance module. The returned labeling information is used as the information over time for the object detection.

The invention discloses a video content description method by means of space and time attention models. The global time structure in the video is captured by means of the time attention model, the space structure on each frame of picture is captured by the space attention model, and the method aims to realize that the video description model masters the main event in the video and enhances the identification capability of the local information. The method includes preprocessing the video format; establishing the time and space attention models; and training and testing the video description model. By means of the time attention model, the main time structure in the video can be maintained, and by means of the space attention model, some key areas in each frame of picture are focused in each frame of picture, so that the generated video description can capture some key buy easy neglected detailed information while mastering the main event in the video content.

The invention discloses a spatiotemporal database management method, as well as a management system and a program product thereof. The spatiotemporal database management system comprises a data collection part, a spatiotemporal data association part and a spatiotemporal data management part, wherein, the data collection part is used to collect or receive the spatial information and the timing information about a geographical entity from external systems, and the produced and existed object timing information of the data are arranged; the spatiotemporal data association part is used to associate various data obtained from the data collection part with the object timing information, and store the association into a corresponding spatiotemporal data file, so as to express the evolution history of the geographical entity and predict the change of the geographical entity; the spatiotemporal data management part is used to respectively store the spatiotemporal data file produced by the spatiotemporal data association part according to the temporal information recorded by the timing information of the geographical entity and the evolution trend recorded by the spatial information of the geographical entity, so as to compose a spatiotemporal database.

First order predicate logics are provided, extended with a bilattice based uncertainty handling formalism, as a means of formally encoding pattern grmmars, to parse a set of image features, and detect the presence of different patterns of interest implemented on a processor. Information from different sources and uncertainties from detections, are integrated within the bilattice framework. Automated logical rule weight learning in the computer vision domain applies a rule weight optimization method which casts the instantiated inference tree as a knowledge-based neural network, to converge upon a set of rule weights that give optimal performance within the bilattice framework. Applications are in (a) detecting the presence of humans under partial occlusions and (b) detecting large complex man made structures in satellite imagery (c) detection of spatio-temporal human and vehicular activities in video and (c) parsing of Graphical User Interfaces.

This invention relates to an apparatus and a method for video capture of a three-dimensional region of interest in a scene using an array of video cameras. The video cameras of the array are positioned for viewing the three-dimensional region of interest in the scene from their respective viewpoints. A triggering mechanism is provided for staggering the capture of a set of frames by the video cameras of the array. The apparatus has a processing unit for combining and operating on the set of frames captured by the array of cameras to generate a new visual output, such as high-speed video or spatio-temporal structure and motion models, that has a synthetic viewpoint of the three-dimensional region of interest. The processing involves spatio-temporal interpolation for determining the synthetic viewpoint space-time trajectory. In some embodiments, the apparatus computes a multibaseline spatio-temporal optical flow.