9807 results about "Image identification" patented technology

An intelligent document recognition-based document management system includes modules for image capture, image enhancement, image identification, optical character recognition, data extraction and quality assurance. The system captures data from electronic documents as diverse as facsimile images, scanned images and images from document management systems. It processes these images and presents the data in, for example, a standard XML format. The document management system processes both structured document images (ones which have a standard format) and unstructured document images (ones which do not have a standard format). The system can extract images directly from a facsimile machine, a scanner or a document management system for processing.

A vehicle information display system includes a head-up display for reflecting an image on a windshield of a vehicle and displaying the image so that a driver recognizes the image as a virtual image. Information is collected for being displayed by the head-up display. A circumstance of the vehicle, a circumstance of surrounding of the vehicle, or a circumstance of the driver is detected. The collected information is classified in accordance with a detection result. Then, display contents of the head-up display are controlled in accordance with a classification result.

A system and method for servoing robot marks using fiducial marks and machine vision provides a machine vision system having a machine vision search tool that is adapted to register a pattern, namely a trained fiducial mark, that is transformed by at least two translational degrees and at least one mon-translational degree of freedom. The fiducial is provided to workpiece carried by an end effector of a robot operating within a work area. When the workpiece enters an area of interest within a field of view of a camera of the machine vision system, the fiducial is recognized by the tool based upon a previously trained and calibrated stored image within the tool. The location of the work-piece is derived by the machine vision system based upon the viewed location of the fiducial. The location of the found fiducial is compared with that of a desired location for the fiducial. The desired location can be based upon a standard or desired position of the workpiece. If a difference between location of the found fiducial and the desired location exists, the difference is calculated with respect to each of the translational axes and the rotation. The difference can then be further transformed into robot-based coordinates to the robot controller, and workpiece movement is adjusted based upon the difference. Fiducial location and adjustment continues until the workpiece is located the desired position with minimum error.

Fingerprint image processing methods for fingerprint security systems, for example, in wireless communications devices, including capturing fingerprint images (320), identifying features from images (330), matching the identified features with reference features (340), and providing access to the device based upon feature matching (350) results. In one embodiment, minutiae features are extracted from the image and matched to reference minutiae features.

Systems and methods for two-way, interactive communication regarding emergency notifications and responses for mobile environments are disclosed. In accordance with one embodiment of the present invention, a specific geographic area is designated for selective emergency communications. The emergency communications may comprise text, audio, video, and other types of data. The emergency notification is sent to users' mobile communications devices such as in-vehicle telematics units, cellular phones, personal digital assistants (PDAs), laptops, etc. that are currently located in the designated area. The sender of the emergency message or the users' service provider(s) may remotely control cameras and microphones associated with the users' mobile communications devices. For example, a rear camera ordinarily used when driving in reverse may be used to capture images and video that may assist authorities in searching for a suspect. The users' vehicles may send photographs or video streams of nearby individuals, cars and license plates, along with real-time location information, in response to the emergency notification. Image recognition algorithms may be used to analyze license plates, vehicles, and faces captured by the users' cameras and determine whether they match a suspect's description. Advantageously, the present invention utilizes dormant resources in a highly beneficial and time-saving manner that increases public safety and national security.

Systems and techniques are provided for tracking puts and takes of inventory items by subjects in an area of real space. A plurality of cameras with overlapping fields of view produce respective sequences of images of corresponding fields of view in the real space. A processing system is coupled to the system. In one embodiment, the processing system comprises image recognition engines receiving corresponding sequences of images from the plurality of cameras. The image recognition engines process the images in the corresponding sequences to identify subjects represented in the images and generate classifications of the identified subjects. The system processes the classifications of identified subjects for sets of images in the sequences of images to detect takes and puts of inventory items on shelves by identified subjects.

A system to provide image processing services responsive to requests including image data includes a system layer that forwards a request to an image application processing interface. Image processing provides an image comparison, barcode recognition, and optical character recognition. The image processing compares the image data to products in a database in order to identify a matching product. The system layer receives the matching information and forwards to a user.

A method for detecting the lane departure of a vehicle includes an image recognition process and a deviation estimation process. The image recognition process includes the following steps: an image capturing step for capturing image frame data by using an image capturing unit; and a lane line recognition for analyzing the image frame data for determining the lane lines. By using a quadratic curve fitting equation, a plurality of lane line being detected so as to establish a road geometry estimation model. The road geometry estimation model is inputted into the deviation estimation process to detect the lane departure of the vehicle so as to alert the driver. Furthermore, an apparatus for detecting the deviation of the vehicle, comprising: an image capturing unit, a processing unit and a signal output unit.

Computerized methods and interactive input systems for manipulation of 3D objects are disclosed. An image of 3D object is displayed on a 2D interactive surface, and input is received and is interpreted for manipulating the 3D object. When the 3D object is selected, rotation control handles indicating available rotation directions are displayed. In one embodiment, the method comprises capturing images of a 3D input space, recognizing at least one object in the images, and comparing the recognized objects in the images to determine a difference therebetween based on a difference threshold. Depending on the outcome of the comparison, the recognized objects are emerged and associated with digital content, or only one of the recognized objects is maintained and associated with digital content.

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 image for an operator is extracted, and an operation determination unit employs a relationship, relative to a marker of an operation input system, for the operator, who is standing behind the marker when viewed by a video camera. When a body part of the operator comes to the front of an operation plane, as viewed by the video camera, the operation determination unit determines that an action for an input operation has been started, and examines the shape and the movement of each individual body part (an open hand, two fingers that are being held up, etc.), and determines whether the shape or the movement is correlated with one of operations that are assumed in advance.

A navigation apparatus with image recognition, includes: an imaging section for obtaining a stereo image of a target spot; an inertial information detecting section for measuring an attitude angle of a body and an acceleration of the body; an image process calculating section for calculating a relative position of the body with respect to the target spot based on the stereo image and the attitude angle; and a navigation calculating section for calculating navigation information based on the attitude angle, the acceleration and the relative position.

An image sensing systems supports independently setting sensor parameters in two or more different regions of interest. In one implementation resolution, exposure time, and gain are independently selectable in each region of interest. Independently setting exposure time and gain in different regions of interest improves image recognition when there are large difference in the illumination of objects within an image. Independently setting resolution permits the resolution to be selectively increased in regions of interest requiring high resolution in order to reduce the pixel data bandwidth and processing requirements.

The invention belongs to the technical field of video monitoring and in particular relates to a human-computer interaction device and a human-computer interaction method adopting human-eye tracking in the video monitoring. The device comprises a non-invasive facial eye image video acquisition unit, a monitoring screen, an eye tracking image processing module and a human-computer interaction interface control module, wherein the monitoring screen is provided with infrared reference light sources around; and the eye tracking image processing module separates out binocular sub-images of a left eye and a right eye from a captured facial image, identifies the two sub-images respectively and estimates the position of a human eye staring position corresponding to the monitoring screen. The invention also provides an efficient human-computer interaction way according to eye tracking characteristics. The unified human-computer interaction way disclosed by the invention can be used for selecting a function menu by using eyes, switching monitoring video contents, regulating the focus shooting vision angle of a remote monitoring camera and the like to improve the efficiency of operating videomonitoring equipment and a video monitoring system.

Certain embodiments of the present invention provide a method and system for improved identification of significant images using visual tracking. Certain embodiments of the system include a visual tracking system capable of tracking a user gaze with respect to a display device and a significant image selector for identifying at least one significant image based on user viewing time. The visual tracking system identifies an image at which a user is gazing records a viewing time during which the user is looking at the image. In an embodiment, the visual tracking system records viewing times for one or more users. In an embodiment, meta-data is associated with one or more significant images to identify the images as significant images, for example. The system may further include a database or table storing significant image information.

The invention discloses a system and a method for acquiring and analyzing commodity display information based on an image identification technology. The system comprises an image acquisition terminal and an image processing center which is connected with the image acquisition terminal through Internet, wherein the image processing center comprises an image storage server, an image analysis server, a database server, a client and a router/switchboard; and the image storage server, the image analysis server, the database server and the client are respectively connected with the router/switchboard. The method comprises the following steps of: 1) establishing a feature library; 2) acquiring commodity display pictures; 3) reading the commodity display pictures, and analyzing and cutting the pictures; 4) identifying the obtained commodity information and display position information; 5) identifying the positions of price labels and acquiring price label information; and 6) associating the acquired price label information with bar codes for commodities. By the system and the method, the efficiency of entering the commodity display information can be improved substantially, and the cost of information acquisition is reduced.

Methods, devices and systems for recognizing an object in an image are provided, in which the object is recognized by evaluation of both image data and digital map information that corresponds to an area represented by the image. Evaluation of the image data and the digital map information may involve various methods of evaluation including cross-checking, in which the digital map information is utilized to verify correct object recognition in the image data; prediction, in which digital map information is utilized to predict a feature of an object to facilitate object recognition in the image data; or modeling in which a generic model of an object is compared with the image data.

The invention discloses a method for measuring object deformation in real time, which comprises the following steps: arranging and adjusting measuring equipment, namely symmetrically arranging two cameras and corresponding LED illumination lamps above a measured object, and making optical axes of the two cameras intersected in a distance of 1 meter in front of the cameras; then calibrating the cameras, namely tightly sticking mark points to the surface of an object to be measured according to the size and shape of the measured object and the measurement requirement; next, placing the measured object stuck with the mark points under the two cameras in about 1 meter or moving the whole measuring equipment to make the measured object enter a measurement range and enable each camera to acquire the mark points on the surface of the measured object, starting the two cameras to shoot sequence images, and acquiring digital images; then identifying and positioning the images; reversely solving a projection matrix according to the calibration result of the cameras, and combining image coordinates of the solved mark points on the surface of the measured object on the images of the two cameras to reconstruct a three-dimensional coordinate of the mark points; and finally, carrying out deformation analysis and calculation for the mark points on the surface of the measured object.

A method for image recognition of a material object that utilizes graphical modeling of the corner points of a vertex which includes projecting a point on a digital display to an inward depth, a one half pixel distance in the plane of the display, with a conic to a digital display, and a square block containing one half size child blocks that are scaled to depth, projecting the corner points of a vertex and replacing the bisecting points of edge features detected in a digital display scaled at an increasing rate of congruency to the dimensions of an object. The method may further include producing a digital image of the material object, providing a central processing unit, providing memory associated with a central processing unit; providing a display associated with a central processing unit; loading the digital image into the memory; defining the edges of features within the digital image; and a finding fight crucial points from registrations projected on to an edge feature display.

An image recognition apparatus operates on data of a color image to obtain an edge image expressing the shapes of objects appearing in the color image, the apparatus including a section for expressing the color attributes of each pixel of the image as a color vector, in the form of a set of coordinates of an orthogonal color space, a section for applying predetermined arrays of numeric values as edge templates to derive for each pixel a number of edge vectors each corresponding to a specific edge direction, with each edge vector obtained as the difference between weighted vector sums of respective sets of color vectors of two sets of pixels which are disposed symmetrically opposing with respect to the corresponding edge direction, and a section for obtaining the maximum modulus of these edge vectors as a value of edge strength for the pixel which is being processed. By comparing the edge strength of a pixel with those of immediately adjacent pixels and with a predetermined threshold value, a decision can be reliably made for each pixel as to whether it is actually located on an edge and, if so, the direction of that edge.

A first illumination section radiates light at a certain degree of illuminance toward the face of a human recognition object from an upper right part or an upper left part of a camera, and a second illumination section radiates light at a certain degree of illuminance toward the face of the human recognition object from a lower part of a camera. The camera photographs and inputs a facial image of the human recognition object. The image processing section extracts a feature value of the face of the human recognition object from a facial image inputted by the camera and collates the feature value extracted with a standard feature value registered in advance so as to recognize a facial image of the human recognition object.

An intelligent video/audio observation and identification database system may define a security zone or group of zones. The system may identify vehicles and individuals entering or exiting the zone through image recognition of the vehicle or individual as compared to prerecorded information stored in a database. The system may alert security personnel as to warrants or other information discovered pertaining to the recognized vehicle or individual resulting from a database search. The system may compare images of a suspect vehicle, such as an undercarriage image, to standard vehicle images stored in the database and alert security personnel as to potential vehicle overloading or foreign objects detected, such as potential bombs. The system may further learn the standard times and locations of vehicles or individuals tracked by the system and alert security personnel upon deviation from standard activity.

A video monitoring system, comprises a camera, and a monitor apparatus, to which video data from the camera is transmitted, wherein the camera comprises a video obtaining unit for obtaining a signal from an image pickup device, a camera image recognizer unit for executing video processing upon an input video obtained from the video obtaining unit, an encoding unit for executing an encoding process upon basis of a result of the processing within the camera image recognizer unit, thereby producing the video data, and wherein the monitor apparatus comprises a decoding unit for decoding the video data, and an image recognizer unit for selecting a decoding means of the decoding unit, upon basis of the result of processing of the camera image recognizer unit.

Embodiments of device-to-device (D2D) discovery, authentication, and connection techniques are generally described herein. In an example, a device-to-device connection establishment technique may be performed directly between peer-to-peer wireless communication devices without obtaining authentication information from a cloud network or an external service. The device-to-device connection establishment technique may include a transmission of a discovery request to available devices, a transmission of a response from available devices including authentication data, and a verification of the authentication data. The authentication data may include previously stored image data associated with a device or human user associated with a device. In further examples, image processing and image recognition techniques may be used to verify a particular device or human user associated with a device.

An image capture apparatus comprising an image capture unit which captures an image of a subject, a first focus control unit which performs a predetermined focus operation for the subject, a first image recognition unit which, after the predetermined focus operation by the first focus control unit, recognizes a position of the subject based on image data obtained by the image capture unit, and a second focus control unit which moves a focus lens to a focusing lens position where an image at the position of the subject recognized by the first image recognition unit comes into focus.

An electronic ticket service system based on color scale image recognition for individual identification, purchasing certificate or bill payment. Different from the conventional black-and-white one- or two-dimensional barcode, the color scale uses assembly of color scales for various colors. Each assembly of multiple color scales represents one element, such that the information capacity is greatly increased. The user can order the ticket via phone or internet. When the user has successfully input the purchase information and complete the payment procedure, the electronic ticket service center can issue and transmit the electronic ticket containing the color scale code to the assigned device through multimedia or wireless transmission. The assigned device can be cellular phones or other mobile communication terminal devices. Upon entrance, the electronic ticket displayed by the cellular phones or the mobile communication terminals is verified by a ticket verification device.

A vision-based hand movement recognition system and method thereof are disclosed. In embodiment, a hand posture is recognized according to consecutive hand images first. If the hand posture matches a start posture, the system then separates the consecutive hand images into multiple image groups and calculates motion vectors of these image groups. The distributions of these motion vectors are compared with multiple three-dimensional motion vector histogram equalizations to determine a corresponding movement for each image group. For example, the corresponding movement can be a left moving action, a right moving action, an up moving action or a down moving action. Finally, the combination of these corresponding movements is defined as a gesture, and an instruction mapped to this gesture is then executed.

The invention discloses an intelligent control system of building safety, comprising a building and floor entry management system, an entrance guard performing system, a personnel tracking system and an elevator operation system, wherein the building and floor entry management system is composed of an information collection system, a data processing and analyzing system, a database information storage system and an information storage and sending system. The intelligent control system adopts RFID identity identification and human face image identification, each floor entry management system adopts the RFID identity identification, and finger identification or iris identification are added in more important occasions so as to greatly improve security level. The personnel tracking system realizes the automatic monitoring and data backup of the activities of personnel in the whole building, can inquire the situation of the activities of personnel of the whole building at any time interval at all times. The elevator operation system operates according to the permission of each electronic tag to further realize the safety control of the building. The control system and method are suitable for important and confidential units, such as military areas of importance, national security agencies, financial systems and the like and are especially suitable for occasions with high security level requirements.

The presently claimed invention relates to image sensors to be worn or attached on a human. One claim recites an apparatus including: an image sensor to capture image data, said apparatus to be worn or attached on a human so that said image sensor captures image data while said apparatus is worn or attached on the human; and an analyzer to analyze captured image data and to determine plural-bit identifiers for one or more objects represented in the captured image data. Of course, additional combinations are provided as claimed as well.

An articulated and animated toy capable of recognizing human users and selected inanimate objects and interacting therewith which includes a computer-based device having stored thereon encoded first human or human-like facial images, a video camera and video digitizer for acquiring data representative of a second human or human-like facial image, and software resident within said computer-based device for facial recognition, which includes Principal Component Analysis, Neural Networks, or another equivalent algorithm for comparing said first human or human-like facial images with said second human or human-like facial image and producing an output signal therefrom for use in identifying said human users. The apparatus can further include software for recognizing speech, generating speech and controlling animation of the articulated toy. In addition, said computer-based device is capable of learning and storing information pertaining to each of said human users such as name, age, sex, favorite color, etc., and to interact with each of said human users on an individual basis, providing entertainment tailored specifically to each of said human users.