3334 results about "Feature recognition" patented technology

An automatic speech recognition system includes: a sound source localization module for localizing a sound direction of a speaker based on the acoustic signals detected by the plurality of microphones; a sound source separation module for separating a speech signal of the speaker from the acoustic signals according to the sound direction; an acoustic model memory which stores direction-dependent acoustic models that are adjusted to a plurality of directions at intervals; an acoustic model composition module which composes an acoustic model adjusted to the sound direction, which is localized by the sound source localization module, based on the direction-dependent acoustic models, the acoustic model composition module storing the acoustic model in the acoustic model memory; and a speech recognition module which recognizes the features extracted by a feature extractor as character information using the acoustic model composed by the acoustic model composition module.

A “New To Me” feature is provided for an interactive media guidance system implemented as a home network having multiple user equipment devices. Functionally speaking, the “New To Me” feature of the interactive media guidance system identifies programs or advertisements that have been previously viewed by an individual user or a user equipment device within the home network, or even by a household. The interactive media guidance system may use the information gathered regarding the programs and/or advertisements that have already been seen by a user, device or household to, for example, remove the programs or advertisements from future displays of recommendations, search results or listings of available programming.

A biometric identification system which uses a UHF radio frequency identification (RFID) tag storing a first set of specified biometric information on an identity card; which bears a facial picture of the card carrier. An identification system comprising an antenna using radio frequency signals and a reader is used to read the first set of specified biometric information from the tag when the identify card is within sensing range of the identification system. A camera captures and digitalizes the facial features of the card carrier when the card carrier approaches a designated area and transmits this digital data to a computer which compares the first set of specified biometric information obtained by the reader from the identity card and the second set of digital facial information obtained from the camera to the stored biometric information to determine if the two sets of biometric information are a match.

The invention provides a voice recognition system comprising a storage unit, a voice acquisition and pre-processing unit, a feature extraction unit and a pattern matching unit, wherein the storage unit is used for storing at least one user's voice model; the voice acquisition and pre-processing unit is used for acquiring a to-be-identified voice signal, transforming the format of the to-be-identified voice signal and encoding the to-be-identified voice signal; the feature extraction unit is used for extracting voice feature parameters from the encoded to-be-identified voice signal; and the pattern matching unit is used for matching the extracted voice feature parameters with at least one voice model so that the user to which the to-be-identified voice signal belongs is identified. Based on the voice generation principle, voice features are analyzed, MFCC (mel frequency cepstrum coefficient) parameters are used, a speaker voice feature model is established, and speaker feature recognition algorithms are achieved, and thus, the purpose to improve speaker detection reliability can be achieved, and the speaker identification function can be finally realized on an electronic product.

The invention provides an auto-tracking recognition system and a method. The system comprises a fixed viewing field camera, a suspicious object determination module, a trail tracking module, a control module, a variable viewing field camera, a picture recognition module, a contrast module and an alarm module, wherein, the suspicious object determination module is used for analyzing a video picture collected by the fixed viewing field camera, determining a suspicious object, and acquiring the position of the suspicious object; the trail tracking module is used for determining the motion trail of the suspicious object; the control module is used for outputting a control signal according to the position and the motion trail of the suspicious object; the variable viewing field camera is used for acquiring the video picture in accordance with the feature recognition requirement based on an adjustment parameter of the control signal; the picture recognition module is used for acquiring a feature parameter of the suspicious object; the contrast module is used for contrasting the acquired feature parameter with the feature information of the contrasted object in a feature database; and the alarm module is used for giving an alarm to the suspicious object in accordance with the set alarm condition. The invention can automatically track and collect detail pictures of the suspicious object, and efficiently realize the recognition of the suspicious object, thereby giving an early and reliable alarm.

An imaging system (50) for providing vehicle security and convenience features that employs face recognition software to identify and track a person. The system (50) employs infrared emitters (30) that emit an infrared signal along a predetermined field-of-view, and an infrared sensor (34), such as a CMOS sensor used as a video signal array, that receives reflected infrared illumination from objects in the field-of-view. A processor (52) including the face recognition software, is employed to detect human faces to identify and track the person. Once a face is detected, it can be compared to a data base to identify the person. Various applications for the imaging system (50) to provide driver convenience and security include determining driver identification as the driver approaches the vehicle, determining if a potential thief is in the vehicle by face recognition, providing driver seat adjustment, rear and side mirror adjustment and steering wheel adjustment, providing vehicle speed control, automatically starting the vehicle, etc.

A method for efficiently and accurately inventorying image features such as timber, including steps of segmenting digital images into tree stands, segmenting tree stands into tree crowns, each tree crown having a tree crown area, classifying tree crowns based on species, and analyzing the tree crown classification to determine information about the individual tree crowns and aggregate tree stands. The tree crown area is used to determine physical information such as tree diameter breast height, tree stem volume and tree height. The tree crown area is also used to determine the value of timber in tree stands and parcels of land using tree stem volume and market price of timber per species.

A system performing secondary verification using only existing apparatuses to accomplish a measure for relief in personal authentication without causing complexity or without increasing cost. The system has a registering apparatus for obtaining data for verification from information inputted using an inputting unit and registering the data. The registering apparatus has a first extracting unit for extracting biometrics characteristic data from the biometrics information obtained by the inputting unit, and registering the biometrics characteristic data as registry biometrics characteristic data for primary verification, and a second extracting unit for extracting data, which is different from the registry biometrics characteristic data, from information inputted using the inputting unit and registering the data as registry data for secondary verification. The system is used for personal authentication using biometrics information such as fingerprint, palm print, finger shape, palm shape, voice, retina, iris, face image, dynamic signature, blood vessel pattern, keystroke, or the like.

The invention discloses a robot indoor positioning and navigating method based on vision, belonging to the field of vision navigation. According to two-dimension codes, the method designs a manpower road sign which is simple and convenient, is easy to recognize, internally contains absolute position coordinates and has certain error correction capability; the road sign is arranged on a ceiling; a camera arranged on the robot, with the optical axis vertical to the ceiling, is used for photographing; the coordinate information included in the road sign is analyzed by road sign positioning of a series of steps such as threshold segmenting of images, extracting of communicating region, profile curve matching and recognizing of road sign characteristic; and the current absolute position and course angle of the robot can be finally obtained by the position estimation arithmetic of the robot. The method has the advantages of reducing the blocking and noise interference, and greatly reducing the processing time and the complexity of surrounding environments of the image processing method.

A system for providing vehicle information at an automobile point of purchase includes a user device having a camera or other image capturing device that is used to capture an image of an automobile. An application on or associated with the image capturing device can either transmit the image to a service provider for processing, or can implement one or more steps in a feature recognition process locally, and thereafter transmit the data to a service provider. In either case, the service provider can then complete the feature recognition processing and identify the automobile from the image. The service provider can then communicate with a make and model database to provide useful information on the vehicle, which can then be transmitted to the user device and conveniently displayed.

The invention discloses a driver fatigue monitoring device based on multivariate information fusion and a monitoring method thereof. The device comprises a digital signal processor, a camera head with a filter, a rectangular ultrared LED light source module mounted on a car windshield, a speaker module and a sensor module comprising an angular sensor and a pressure sensor, wherein the camera head, the rectangular ultrared LED light source module, the speaker module and the sensor module are respectively connected with the digital signal processor. The monitoring method comprises four procedures, namely eye characteristic identification, view line track, driving activity monitoring and fatigue characteristic judgment which merges the fatigue judgment results of the eye characteristic identification, the view line track and the driving activity monitoring to accurately judge the fatigue states of a driver. The invention utilizes an information merging technology to further develop and improve a fatigue driving detection technology, can objectively, rapidly and accurately judge the fatigue state of the driver in real time and avoids traffic accidents caused by fatigue driving.

The invention provides distributed cognitive technology for an intelligent emotional robot, which can be applied in the field of multi-channel human-computer interaction in service robots, household robots, and the like. In a human-computer interaction process, the multi-channel cognition for the environment and people is distributed so that the interaction is more harmonious and natural. The distributed cognitive technology comprises four parts, namely 1) a language comprehension module which endows a robot with an ability of understanding human language after the steps of word division, word gender labeling, key word acquisition, and the like; 2) a vision comprehension module which comprises related vision functions such as face detection, feature extraction, feature identification, human behavior comprehension, and the like; 3) an emotion cognition module which extracts related information in language, expression and touch, analyzes user emotion contained in the information, synthesizes a comparatively accurate emotion state, and makes the intelligent emotional robot cognize the current emotion of a user; and 4) a physical quantity cognition module which makes the robot understand the environment and self state as the basis of self adjustment.

A method detects events in multimedia. Features are extracted from the multimedia. The features are sampled using a sliding window to obtain samples. A context model is constructed for each sample. The context models form a time series. An affinity matrix is determined from the time series models and a commutative distance metric between each pair of context models. A second generalized eigenvector is determined for the affinity matrix, and the samples are then clustered into events according to the second generalized eigenvector.

The invention discloses an establishment method for a network flow characteristic identification rule. The establishment comprises the following steps of: receiving a network flow sample by using an analysis centre server; acquiring load data of the network flow sample; extracting a flow characteristic from the load data; when the characteristic parameters contained in the flow characteristic reach a corresponding threshold, determining the type to which a network flow belongs corresponding to the corresponding threshold; storing the flow characteristic and the type correspondingly to generate the characteristic identification rule; and transmitting the characteristic identification rule to network flow equipment. By adopting the method of the embodiment, the analysis centre server can extract the flow characteristic of the network flow and establish the characteristic identification rule without pre-installing and operating application software for generating the network flow; and the analysis, identification and control capacity of the network flow equipment to the network flow can be continuously improved by transmitting dynamically updated characteristic identification rule tothe network flow equipment.

A gesture feature recognition system and method is provided. The gesture feature recognition system comprises an input/output component for recording pen strokes and for displaying them as strokes on a display device, a repository for storing gesture recognition data and a recognizer component for analyzing the strokes using the gesture recognition data. The method comprises the steps of receiving input data that represents the stroke sequence of handwritten characters and symbols, comparing the input data to a predefined symbol set stored in a repository, identifying characters and symbols present in the input data, and identifying the location of relevant features of the characters and symbols.

In an enterprise biometric identification/authentication and migration system, a method and apparatus is disclosed for providing an identification reference image of a user by determining two or more Image Quality Index scores of a biometric identifier of the user based on two or more respective images received from two or more respective imaging devices, comparing the scores, and generating an identification reference biometric identifier image for the user with the imaging device that produced the image with the highest score. In some embodiments, the method and apparatus is extended to a plurality of biometric identifiers

Disclosed is a feature-based numerical-control method for processing and manufacturing complicated parts. The feature-based numerical-control method includes expressing features on the basis of a body and an object-oriented process; expressing geometrical and technological information of a part in an integral manufacturing procedure on the basis of the features; utilizing the features as carriers of manufacturing knowledge and experience to implement effective integration and closed-loop control for information of manufacturing stages of designing, processing, detecting and the like; and carrying out automatic technological decision, automatic numerical-control programming, post-processing, control for a processing procedure, online detection, technology optimization and working hour prediction on the basis of automatic feature identification and the features. The feature-based numerical-control method has the advantages that information links are effectively connected with one another in the processing procedure, the manufacturing procedure is automatic and intelligent, dependence on manual experience is reduced in the manufacturing procedure, production management for the manufacturing procedure is facilitated, the manufacturing efficiency is improved, and the production cost is reduced.

Abstract of Disclosure A system for communicating electronically over a communications medium regarding an account includes (a) maintaining information pertaining to the account in a database such that the information is retrievable by a unique identifier, the information including security features of a device that generates digital signatures using a private key of a public-private key pair, (b) associating the public key of the device with the unique identifier in the database, (c) receiving an electronic communication including the unique identifier and a digital signature for a message generated by a suspect device (d) authenticating the message using the public key associated with the unique, (e) upon successful authentication of the message, identifying the security features retrievable by the unique identifier as being the security features of the genuine device, and (f) gauging the risk that said generated digital signature was fraudulently sent based on said identified security features of the genuine device.

A manual annotation system of multi-modal characteristics in multimedia files. There is provided an arrangement for selection an observation modality of video with audio, video without audio, audio with video, or audio without video, to be used to annotate multimedia content. While annotating video or audio features is isolation results in less confidence in the identification of features, observing both audio and video simultaneously and annotating that observation results in a higher confidence level.

The embodiment of the invention discloses an automatic identification system and method for commodities based on image feature matching, which are used in the field of information systems and are used for overcoming the defect of the traditional bar code process for commodity feature identification in a commodity sales system so as to provide an accurate real-time commodity feature identification scheme. The system comprises an image processing unit and a commodity information system, wherein the image processing unit is used for collecting the image data of the current commodity in real time and processing the image data of the current commodity to extract image feature information; the commodity information system is used for storing the image feature information of the commodity, and looking up and matching the image feature of the current commodity according to the image feature information of the commodity, which is collected in real time, and the current commodity is identified. In the automatic identification system, the image processing unit is used for collecting commodity images, processing and communicating, the commodity price is synchronously identified by the image identification process, and thus the automatic identification system has the advantages of high identification speed, high precision and favorable popularization and application values.

The invention discloses a method for judging an identity based on keyboard-mouse crossed certification, which organically combines keystroke behavior certification and mouse behavior certification together and comprises the following steps: selecting the keystroke behavior certification or the mouse behavior certification as a preferred mechanism or an alternative mechanism for identity certification at random in the process of registering an identity by a user; allowing the user to pass the certification when the preferred identity certification mechanism certification is successful; using the alternative certification mechanism to perform identity certification again when the preferred identity certification mechanism certification is failed; adopting the mouse behavior certification to perform identity certification again when detecting that the keystoke behavior of the user is abnormal in the process of identity monitoring of the user; and adopting the keystroke behavior certification to perform identity certification again when detecting that the mouse behavior of the user is abnormal. The invention utilizes the advantages and suitable fields of two biological behavior characteristics identifications to improve fault tolerance, overcome incompleteness of single biological behavior characteristic information and broaden safety and applicability thereof.

One or more parameters such as time is reported to a center using a form. The center then automatically extracts data from the form and converts it for storage and subsequent processing or review. The form is preferably a physical form, which the sender fills in and then faxes to the center. Image capture, registration, and feature recognition routines are included to enable the center to extract the reported data with no need for data reentry or human intervention. The invention is particularly suitable for employees who need to submit time sheets, expense reports, and the like to an employer, or for automatic analysis of submitted inventory reports, product orders, etc.

A system and methods are disclosed for enhancing license plate recognition (LPR) and vehicle feature recognition processes in automatic vehicle access control, parking management, automatic toll collection and security applications. The system uses optical character recognition (OCR) to read license plates, while utilizing image feature recognition to verify plate reading results, and correct any OCR read errors, thereby increasing system accuracy. The system automatically controls the actuation of one or a plurality of gates/barriers to allow entry and exit of authorized vehicles to or from a premises, a parking lot or a toll station. In the event of failure of the OCR algorithm to identify a license plate of an authorized vehicle at an entry or exit point, the system allows a human operator or the driver/passenger of the said authorized vehicle to override its decision, and allow the vehicle to pass by opening the gate or barrier through external means including card reader, bio-metric scanner, key fob, cell-phone/smart phone, wireless transceiver, electro-mechanical switch/button, or PC/Web based application. This overriding action of opening the gate/barrier through the said external means is used to tune the license plate and vehicle recognition system, causing it to adapt its algorithms to perform better when it encounters the same vehicle again. Besides the above aspect, the present invention discloses fast and memory-efficient methods for image feature matching that are well suited for real-time situations where the set of reference image features is changing with time as new vehicles arrive. In addition to the above aspects, the present invention discloses an LPR database update method that simplifies license plate misread corrections process in the database, thereby improving the accuracy of subsequent database search queries. Furthermore, the present invention discloses methods in an LPR system that account for all the passing traffic by categorizing and recording license plate/vehicle captures as read-plate records, unread-plate records, or vehicles with missing license plates. In addition to the above aspects, the present invention discloses methods for switching between normal and privacy modes of operation and between different security levels.