1512results about How to "Reduce computing load" patented technology

Systems, methods, and apparatuses for high-speed navigation. The present invention preferably encompasses systems, methods, and apparatuses that provide for autonomous high-speed navigation of terrain by an un-manned robot. By preferably employing a pre-planned route, path, and speed; extensive sensor-based information collection about the local environment; and information about vehicle pose, the robots of the present invention evaluate the relative cost of various potential paths and thus arrive at a path to traverse the environment. The information collection about the local environment allows the robot to evaluate terrain and to identify any obstacles that may be encountered. The robots of the present invention thus employ map-based data fusion in which sensor information is incorporated into a cost map, which is preferably a rectilinear grid aligned with the world coordinate system and is centered on the vehicle. The cost map is a specific map type that represents the traversability of a particular environmental area using a numeric value. The planned path and route provide information that further allows the robot to orient sensors to preferentially scan the areas of the environment where the robot will likely travel, thereby reducing the computational load placed onto the system. The computational ability of the system is further improved by using map-based syntax between various data processing modules of the present invention. By using a common set of carefully defined data types as syntax for communication, it is possible to identify new features for either path or map processing quickly and efficiently.

An omnidirectional sensor array system, for example a panoptic camera, comprising a plurality of sensors arranged on a support of predetermined shape to acquire data, wherein said sensors are directional and wherein each sensor is attached to a processing node which comprises integrated electronics that carries out at least a portion of the signal processing algorithms locally in order to reduce the computational load of a central hardware unit.

Methods for fast generating spatially reduced-size images directly from compressed video streams supporting the coding of interlaced frames through transform coding and motion compensation. A sequence of reduced-size images are rapidly generated from compressed video streams by efficiently combining the steps of inverse transform, down-sampling and construction of each field image. The construction of reduced-size field images also allows the efficient motion compensation. The fast generation of reduced-size images is applicable to a variety of low-cost applications such as video browsing, video summary, fast thumbnail playback and video indexing.

A method is provided for efficiently processing messages staged for authentication in a security layer of a protocol stack in a wireless vehicle-to-vehicle communication system. The vehicle-to-vehicle communication system includes a host vehicle receiver for receiving messages transmitted by one or more remote vehicles. The host receiver is configured to authenticate received messages in a security layer of a protocol stack. A wireless message broadcast by a remote vehicle is received. The wireless message contains characteristic data of the remote vehicle. The characteristic data is analyzed for determining whether the wireless message is in compliance with a predetermined parameter of the host vehicle. The wireless message is discarded prior to a transfer of the wireless message to the security layer in response to a determination that the wireless message is not in compliance with the predetermined parameter of the host vehicle. Otherwise, the wireless message is transferred to the security layer.

An information device includes a dynamically configurable security module in which operational settings are automatically and dynamically configured based on risk profile or computing capacity information, or both.

A home intelligent service robot for recognizing a user and following the motion of a user and a method thereof are provided. The home intelligent service robot includes a driver, a vision processor, and a robot controller. The driver moves an intelligent service robot according to an input moving instruction. The vision processor captures images through at least two or more cameras in response to a capturing instruction for following a target object, minimizes the information amount of the captured image, and discriminates objects in the image into the target object and obstacles. The robot controller provides the capturing instruction for following the target object in a direction of collecting instruction information to the vision processor when the instruction information is collected from outside, and controls the intelligent service robot to follow and move the target object while avoiding obstacles based on the discriminating information from the vision processor.

An autonomous vehicle includes a travel vehicle main body, a model data storage, a photographic device, a search region determiner, an image feature point detector, a feature amount calculator and a position detector. The travel vehicle main body autonomously travels to a target position. The model data storage stores model data related to a geometric feature of an object. The photographic device photographs a periphery of the travel vehicle main body at the target position to acquire image data. The search region determiner predicts a position of the object based on the image data, and determines a search region of a predetermined range including the predicted position of the object. The image feature point detector detects a feature point of the image data with respect to the search region. The feature amount calculator calculates a feature amount of a matching candidate point extracted from the feature point. The position detector matches the feature amount of the matching candidate point with the model data to recognize the position of the object based on the image data.

Architecture for implementing a perceptual user interface. The architecture comprises alternative modalities for controlling computer application programs and manipulating on-screen objects through hand gestures or a combination of hand gestures and verbal commands. The perceptual user interface system includes a tracking component that detects object characteristics of at least one of a plurality of objects within a scene, and tracks the respective object. Detection of object characteristics is based at least in part upon image comparison of a plurality of images relative to a course mapping of the images. A seeding component iteratively seeds the tracking component with object hypotheses based upon the presence of the object characteristics and the image comparison. A filtering component selectively removes the tracked object from the object hypotheses and/or at least one object hypothesis from the set of object hypotheses based upon predetermined removal criteria.

The present invention relates generally to wireless, remote, physiological monitoring in the evaluation of health and disease state specifically with respect to cardiac and pulmonary pathologies, including heart failure and sleep apnea. Personalized thresholds are used to enhance performance of classification and prediction methods by utilizing patient clinical history and past empiric sensed data, such as through an initialization period, to learn the biological variation present in each sensed individual.

Data from an adherent patch undergoes disseminated processing as data is securely sent from a sensing device ultimately to a remote server. Monitoring, classification, and prediction results are hosted and made accessible through an authenticated system to members of the individual's healthcare team, family, or other caregivers.

Learning algorithms are used to characterize physiological attributes and to classify a health or disease state based on an aggregate of features. Classification models and feature selection are optimized with validation algorithms.

A method for recognition of an input human motion as being the most similar to one model human motion out of a collection of stored model human motions. In the preferred method, both the input and the model human motions are represented by vector sequences that are derived from samples of angular poses of body parts. The input and model motions are sampled at substantially different rates. A special optimization algorithm that employs sequencing constraints and dynamic programming, is used for finding the optimal input-model matching scores. When only partial body pose information is available, candidate matching vector pairs for the optimization are found by indexing into a set of hash tables, where each table pertains to a sub-set of body parts. The invention also includes methods for recognition of vector sequences and for speech recognition.

A feature extraction method includes: the step of grouping a cluster of features, in which an internal of the respective features is less than or equal to a predetermined grouping interval, to form a feature group, for a plurality of features of which feature information including at least information of a position and a feature type is included in a predetermined feature information storage unit; the step of excluding the feature, not suitable for use in an image recognition process of the feature with respect to image information, from the cluster of the features within the feature group; and the step of extracting a part or all of one or more of the features within the feature group remaining as a result of the exclusion step as a target feature suitable for the use in the image recognition process.

The invention relates to a method and an apparatus in which samples of at least a part of an audio signal of a first channel and a part of an audio signal of a second channel are used to estimate a time delay between said part of the audio signal of said first channel and said part of the audio signal of said second channel. The method includes windowing the samples; performing a time-to-frequency domain transform; and determining an inter-channel time delay between said part of the audio signal of the first channel and said part of the audio signal of said second channel on the basis of the frequency domain representations. There is also disclosed a method and an apparatus for decoding the encoded samples.

A method for fast locating a decipherable pattern in an input image, which is characterized in utilizing an overly downscaled binary image to not only reduce computation time but also facilitate extraction of skeletons for fast and accurately locating pattern, is disclosed. First, a pre-process is applied to an input image to acquire a binary image downscaled n times, from which at least one skeleton corresponding to a decipherable pattern is extracted. Coordinate values of at least one pixel of each skeleton are respectively enlarged n^1/2 times and used as the central points on the original image plane for establishing a plurality of detecting blocks with the identical size. Subsequently, a grading mechanism is employed to determine the corresponding detecting blocks of the decipherable pattern.

A system and method for wireless communications is provided. A method for operating in a communications network includes receiving a codebook, the codebook includes a plurality of codewords, and determining if the codebook satisfies a constant modulus property. The method also includes in response to determining that the codebook does not satisfy the constant modulus property, converting the codebook into a codebook satisfying the constant modulus property, and storing the codebook satisfying the constant modulus property. The method further includes storing the codebook in response to determining that the codebook does satisfy the constant modulus property, and causing to transmit a transmission to a communications device, wherein the transmission is encoded using a codeword in the stored codebook.