2467 results about "Template matching" patented technology

A playing card integrity checker utilises a blue light source to illuminate the playing face of each card to use template matching to identify the value and suit of each card based on stored templates from cards of the same card manufacturer. This information and the number of cards counted is matched against the cards needed for a predetermined game. The absence of required cards or the presence of superfluous cards is reported. Cards that have their faces reversed or appear marked are also reported.

A system (and a method) automatically generates a feed from structured or unstructured data. The system identifies a resource having two or more data elements. The resource is matched with a pre-defined template. The pre-defined template is structured for a feed and includes a plurality of fields. The system extracts data elements from the two or more data elements of the resources. Each extracted data element corresponds to a field or the plurality of fields in the pre-defined template. Each extracted data element is then merged into the corresponding field or the plurality of fields in the pre-defined template to generate the feed.

An object detector, an object detecting method and a robot can reduce diction errors of detecting wrong objects without increasing the volume of the computational operation to be performed to detect the right object. A face detector 101 comprises a face detecting section 110 that operates like a conventional face detecting section and is adapted to roughly select face candidates from an input image by template matching and detect face candidates by means of a support vector machine for face recognition, a non-face judging section 120 that detects non-face candidates that are judged to be non-faces and removes them from the face candidates selected by the face detecting section 110 and a skin tracker section 114 for tracking a face region after the non-face judgment. When the assumed distance between the face detector and the face as computed from the input image and the measured distance as measured by a distance sensor show a large difference, when the color variance of the face candidate is small, when the occupancy ratio of the skin color region is large and when the change in the size of the face region is large after the elapse of a predetermined time, the non-face judging section 120 judges such face candidates as non-faces and removes them from the face candidates.

The present invention relates to a video coding method. Specifically, the invention relates to motion vector (MV) coding, wherein the MV coding is based on edge matching or adaptive template matching, namely the motion vector coding based on boundary matching (MVCBM) and the motion vector coding based on adaptive template matching (MVCATM). Generally speaking, the invention limits a prediction candidate set, wherein a predictor adaptively changes based on the current distribution of the adjacent MV. Subsequently, a matching technique (boundary matching in MVCBM and adaptive template matching in MVCATM) is used for reducing the number of the prediction and reducing the number of bits used by indexing. Afterwards, an optimal motion vector predicator is selected from the reduced concentrated predictor. The guessing strategy based on the least MVD standard further saves the number of indexing bits.

The invention discloses a mapping knowledge domain questioning and answering system and method based on a template matching technique. The system comprises an offline module and an online module, wherein the offline module is mainly used for offline data preparation, and the online module is mainly used for system service. The system can support a friendly natural language question of a user to serve as a query, grammatical analysis is conducted on the question of the user, an offline-defined manual template library is searched for a matched question template according to a result obtained through grammatical analysis, a final structurized mapping knowledge domain query statement is generated according to an entity matching method and a relation matching method, retrieving is conducted in a mapping knowledge domain according to the structurized query statement, and then a final result is returned. According to the mapping knowledge domain questioning and answering system and method based on the template matching technique, the precise retrieving result can be given for the question of the user, and the searching satisfaction degree of the user is improved.

An apparatus and method for spatial encoding of intra-predictions for a current block of a video sequence without the need to average across a number of best template matches. The encoder identifies and sorts the best template matches for the current block within previously coded and reconstructed blocks which neighbor the current block of video. In response to determining actual predictive error for the sorted list of matches, a selector is generated identifying which of the sorted templates is optimal. The selector is then communicated for receipt by the decoder, which is adapted for performing the same template matching and sorting, which is followed by selection of the optimum candidate in response to using the selector. In response to the selector information the decoder can provide optimum template matching without the compromise or overhead of taking averages across the best template candidates.

Techniques and systems are provided for deriving one or more sets of affine motion parameters at a decoder. For example, the decoder can obtain video data from an encoded video bitstream. The video data includes at least a current picture and a reference picture. The decoder can determine a set of affine motion parameters for a current block of the current picture. The set of affine motion parameters can be used for performing motion compensation prediction for the current block. The set of affine motion parameters can be determined using a current affine template of the current block and a reference affine template of the reference picture. In some cases, an encoder can determine a set of affine motion parameters for a current block using a current affine template of the current block and a reference affine template of the reference picture, and can generate an encoded video bitstream that includes a syntax item indicating template matching based affine motion derivation mode is to be used by a decoder for the current block. The encoded video bitstream may not include any affine motion parameters for determining the set of affine motion parameters.

A patterned object that is placed on or adjacent to a display surface of an interactive display is detected by matching an image produced using infrared light reflected from the patterned object with one of a set of templates associated with the patterned object. The templates are created for each of a plurality of incremental rotations of the patterned object on a display surface. To implement the comparison, a sum of template data value corresponding to the intensities of the reflected light is calculated for the image of the patterned object and for each of the templates. These sums are compared to determine a rotated template that matches the patterned object within a predefined threshold, thus determining that the patterned object has been placed on or near the display surface.

A system and method is provided for efficiently adapting information content for an electronic device. A normalizer includes a template normalizer for matching and applying a document tree to a template tree, and applying changes to the document tree. If the template normalizer does not find an appropriate template match, an automatic normalizer is utilized. The automatic normalizer utilizes weighting heuristics and pattern recognition with formatting rules to partition content into folders. The automatic normalizer can also utilize embedded normalization markup in the information content to assist in normalizing the information content. Information content can be represented by document object tree. A document object tree is created by storing information relating to the information content into arrays. The stored information describes a document object tree structure and tree dependencies as a mutable object.

Simultaneous tracking of multiple objects in a sequence of video frames captured by multiple cameras may be accomplished by extracting a foreground elements from a background in a frame, segmenting objects from the foreground surface, tracking objects within the frame, globally tracking positions of objects over time across multiple frames, fusing track data of objects obtained from multiple cameras to infer object positions, and resolving conflicts to estimate most likely object positions over time. Embodiments of the present invention improve substantially over existing trackers by including a technique for extraction of the region of interest that corresponds to a playing field, a technique for segmenting players from the field under varying illuminations, a template matching criteria that does not rely on specific shapes or color coherency of objects but on connected component properties, and techniques for reasoning about occlusions and consolidating tracking data from multiple cameras.

A method and apparatus for tracking an object, and a method and apparatus for calculating object pose information are provided. The method of tracking the object obtains object feature point candidates by using a difference between pixel values of neighboring frames. A template matching process is performed in a predetermined region having the object feature point candidates as the center. Accordingly, it is possible to reduce a processing time needed for the template matching process. The method of tracking the object is robust in terms of sudden changes in lighting and partial occlusion. In addition, it is possible to track the object in real time. In addition, since the pose of the object, the pattern of the object, and the occlusion of the object are determined, detailed information on action patterns of the object can be obtained in real time.

The invention relates to a movement human abnormal behavior identification method based on template matching, which mainly comprises the steps of: video image acquisition and behavior characteristic extraction. The movement human abnormal behavior identification method is a mode identification technology based on statistical learning of samples. The movement of a human is analyzed and comprehended by using a computer vision technology, the behavior identification is directly carried out based on geometric calculation of a movement region and recording and alarming are carried out; the Gaussian filtering denoising and the neighborhood denoising are combined for realizing the denoising, thereby improving the independent analysis property and the intelligent monitoring capacity of an intelligent monitoring system, achieving higher identification accuracy for abnormal behaviors, effectively removing the complex background and the noise of a vision acquired image, and improving the efficiency and the robustness of the detection algorithm. The invention has simple modeling, simple algorithm and accurate detection, can be widely applied to occasions of banks, museums and the like, and is also helpful to improve the safety monitoring level of public occasions.

An apparatus and a method for identifying fusion beats as part of an automatic capture routine in a cardiac stimulation device are disclosed. By requiring each post-pulse electrical response to be closely correlated with an expected morphology for either a capture condition or a loss-of-capture condition before classification of the post-pulse electrical response as either capture or loss-of-capture respectively, the present invention is able to identify fusion beats. In various embodiments, this fusion identification is performed using both template matching and assessment of particular detection features. Moreover, in one embodiment, a moving average and a standard deviation are maintained for each detection feature, thereby creating an automatically adjusting evoked response detection threshold.

A camera based position recognition system for a road vehicle. The environment in the direction of travel of the vehicle is acquired by a camera. Using the acquired image data, the position of the vehicle in its environment is determined with regard to an optical signature identified in the obtained image data. For determining the position of the vehicle, use is made of the knowledge of the relationship between the environment coordinate system of the optical signature and that of the camera coordinate system. In simplified manner, position determination occurs with regard to the optical signature on the basis of a template matching imposed on the image data. For this, a template or an optical signature recorded in memory is superimposed on the optical signature identified in the image data in the environment of the vehicle (template matching). From the parameters of this template matching (for example linear compression and rotation parameters) recognizing the existing coordinate system, the position of the vehicle relative to the optical signature can be directly deduced.

The invention discloses a voice control method and system for an electronic device. The voice control method comprises the following steps: voice information of a user is acquired; a voice print feature of the user is extracted from the voice information; the voice print feature of the user is matched with voice print templates prestored in a voice print template base; when the voice print feature of the user is matched with one voice print template, the identity of the user is determined, and a prestored operation instruction base of the user is called; voice content is extracted from the voice information; the voice content is matched with operation instructions in the operation instruction base of the user; when the voice content is matched with one operation instruction in the operation instruction base of the user, the operation instruction is executed. According to the voice control method and system for the electronic device, the identity of a legal user of the electronic device is verified by matching the voice print feature of the user, so that illegal operation by illegal users is effectively prevented, and the safety and the privacy of the electronic device are improved; the operation instructions are executed by matching the voice content of the user, so that voice control is realized.

The invention discloses a three-dimensional reconstruction method based on coding structured light, comprising the following steps: 1) projecting structured light to an object to be measured, and capturing an image modulated by the object to be measured by a camera; 2) matching an optical template, comprising: (2.1) positioning the optical strip boundary, scanning along each row of the image, determining a pixel point with strong gray variation as a candidate marginal point, and searching a local domain; and (2.2) matching the optical strip: adopting a color cluster method to build a color matching proper vector, comparing image color with a projected color, and defining Euclidean distance between the color proper vector and the cluster center to distribute the colors of red, green, blue and white of the candidate optical strip; and 3) using a calibrated system parameter for three-dimensional reconstruction of the object to be measured, determining the relation between a space point coordinate and the image coordinate point thereof by the calibrated conversion matrix parameter; and restoring three-dimensional spatial coordinate from the image coordinate of a feature point. The invention can simplify calculation process and has high matching precision and high reconstruction precision.

The invention discloses a face detection and recognition method based on skin color segmentation and template matching. A face is segmented with the use of a face skin mixing Gauss model according to the clustering characteristics of face skin color in an YCbCr color space and a region of which the color is close to face skin color is separated from an image so as to achieve the purpose of quickly detecting the outer face of a face. A light compensation technology is used to overcome the influence of brightness on face detection and recognition. Adaptive template matching is used to overcome the influence of a skin-color-alike background on face detection and recognition. A secondary matching algorithm is adopted to reduce the amount of computation during the matching process, and singular value features of a face image are extracted to recognize a face and achieve the purpose of reducing the number of dimensions of a characteristic value matrix in the process of face feature extraction. The face detection and recognition method can quickly detect a face, improves the accuracy of face detection and recognition, is strong in practicability and has strong popularization and application values.

An authentication system includes a mobile device carried by a user and a sensor sensing the user's biometric information. The mobile device includes a template storage unit storing the user's biometric information as a template, a first mutual authentication unit performing mutual authentication with the sensor via the user's body, and a template transmitter transmitting the stored template to the sensor via the user's body when the sensor is verified as valid. The sensor includes a second mutual authentication unit performing mutual authentication with the mobile device via the user's body, a sensing unit sensing the user's biometric information, a degree-of-match determining unit determining whether the biometric information matches the template, and a control-signal output unit outputting a preset control signal when the mobile device is verified as valid and when the biometric information and the template are determined to match each other.

The invention discloses a passenger abnormal behavior identification method based on a human skeleton sequence, which comprises the following steps: 1) shooting an escalator area monitoring video image by a camera; 2) detecting that passenger face through the SVM and trac the passenger face with the KCF to obtain the passenger motion trajectory in the escalator; 3) extracting that human skeleton from the image by using the OpenPose depth learn network; 4) matching that human skeleton to the corresponding passenger trajectory to construct the human skeleton sequence of the passenger; 5) detecting that abnormal behavior skeleton sequence from the passenger human skeleton sequence through template match; 6) using DTW to match it with various abnormal behavior skeleton sequence template to identify abnormal behavior. That invention can accurately and real-time identify a plurality of abnormal behavior of passengers in the escalator base on human skeleton sequence, according to the abnormalbehavior type to control the operation situation of the escalator, and avoid the occurrence of safety accident.

Systems and methods for recognizing a location of a target are provided. One system includes a camera configured to generate first data representing an object resembling the target, a memory storing second data representing a template of the target, and a processor. The processor is configured to receive the first data and the second data, and determine that the object is the target if the object matches the template within a predetermined percentage error. A method includes receiving first data representing an object resembling the target, receiving second data representing a template of the target, and determining that the object is the target if the object matches the template within a predetermined percentage error. Also provided are computer-readable mediums including processor instructions for executing the above method.

An apparatus for monitoring the fatigue state of the motor-driven vehicle's driver is composed of image acquisition and conversion system, image processing system, fatigue state recognizing system, prompting and alarm system and brake system. Its method includes such steps as acquiring the face images of driver by infrared light and camera, processing the images to obtain eye images, recognizing eye state, calculating the winking duration, frequency and PERCLOS value, and judging the fatigue degree of driver.

The invention belongs to the technical field of the pattern identification and image processing, and relates to a license plate detection and identification method based on the maximum stable extremal region, which comprises the following steps: extracting the maximum stable extremal region (MSER) to obtain text regions of candidate license plates; adopting one effective feature for description of each extremal region, classifying the extremal regions into 'text' regions and 'non-text' regions with a classifier obtained in prior training, and extracting a license plate from original images based on the characteristics of the structure of the license plate; and describing with the characteristics of the shape context, and completing the character identification through template matching. Since the maximum stable extremal region has the affine invariance, high stability and multi-scale features, and the regions are determined only according to the gray value and are not light-sensitive,the license plate detection and identification method with the maximum stable extremal region as the base is applicable to the complex background, and has the advantages of good stability and high identification rate.

The invention provides a contour vector feature-based embedded real-time image matching method. The method uses the linear feature based on X and Y direction vectors, and has strong capability of resisting image distortion, noise, shading, illumination changes, polarity inversion and so on. An image pyramid search strategy is used, templates are quickly matched in a high-layer low-resolution image to be tested, and then, a target position is found out accurately by stepwise downward search, so that matching time is reduced greatly. According to the template image specific information, the best pyramid hierarchy number and the best rotation angle step size for the pyramid template matching of each layer are calculated automatically. An image pyramid highest-layer three-level screening matching strategy is provided, treatment is carried out according to the specific content of the image to be tested, and the first level of screening and the second level of screening are carried out; the non-target position is eliminated just by the addition and subtraction and the conditional statements, which is more efficient in the embedded system than using the multiplication and division; and the third level only processes fewer positions meeting the requirements of the above two levels, so that the matching speed is improved greatly. The overall method can realize the work of matching and locating the target at any angle and any coordinate.

A flow meter includes an image sensor and a processor. The image sensor is configured to capture an image of a drip chamber. The processor is configured to determine whether the captured image of the drip chamber contains a match to a template, and to apply a blurring function to the image captured by the image sensor of the drip chamber such that the processor can determine if the captured image contains a match to the template.

Systems and methods for tracking human hands using parts based template matching within bounded regions are described. One embodiment of the invention includes a processor; an image capture system configured to capture multiple images of a scene; and memory containing a plurality of templates that are rotated and scaled versions of a finger template. A hand tracking application configures the processor to: obtain a reference frame of video data and an alternate frame of video data from the image capture system; identify corresponding pixels within the reference and alternate frames of video data; identify at least one bounded region within the reference frame of video data containing pixels having corresponding pixels in the alternate frame of video data satisfying a predetermined criterion; and detect at least one candidate finger within the at least one bounded region in the reference frame of video data.

A machine-vision-based online dimensional measurement method of precise instruments relates to a machine-vision-based dimensional measurement method and solves the problem of high-precision requirements on workpiece measurement in modern industry. The method comprises the steps of adjusting a camera to obtain a clear image of a standard instrument and meanwhile collecting a template area inside the clear image; performing iterative threshold segmentation on the template area to obtain the segmented threshold of the image, namely, binarizing the template area to obtain a binary image of the template area; obtaining a binary image of an image to be measured, and obtaining a target area of the image to be measured through template matching; performing image processing on the target area of the image to be measured to obtain the edges of an instrument to be measured, which is used for dimensional measurement, and calculating the pixel distances among the edges; calculating the relation between the pixel distances and the actual distances of the image; and calculating out the actual dimension of the instrument to be measured. The machine-vision-based online dimensional measurement method of precise instruments can be widely applied to the machine vision dimensional measurement of the precise instruments.

The invention provides a vehicle license plate recognition method based on a video. According to the vehicle license plate recognition method based on the video, moving vehicles are detected and separated out with the vehicle video which is obtained through actual photographing by means of a camera serving as input, the accurate position of a vehicle license plate area is determined by conducting vertical edge extraction on a target vehicle image obtained after pre-processing, a vehicle license plate image is separated out, color correction, binaryzation and inclination correction are conducted on a vehicle license plate image, each character in the positioned vehicle license plate area is separated to serve as an independent character, feature extraction is conducted one each character, obtained feature vectors are classified through a classifier which is well trained in advance, a classification result serves as a preliminary recognition result, secondary recognition is conducted on the stained vehicle license plate characters according to a template matching algorithm imitating the visual characteristics of human eyes, and then a final vehicle license plate recognition result is obtained. The vehicle license plate recognition method based on the video has the advantages that hardware cost is reduced, the management efficiency of an intelligent transportation system is improved, the anti-jamming performance and the robustness are high, the recognition efficiency is high, and the recognition speed is high.

The invention discloses a legal trial business processing method and a legal trial business processing device. The legal trial business processing method includes the steps of constructing a legal knowledge map which comprises elements of different causes in different cases, determining elements of a current case and corresponding element contents of the current case according to the legal knowledge map, determining a document template matching the elements of the current case from a default document template library, and generating a document based on the document template and the element contents. The legal trial business processing method has the advantages of solving the technical problem that a single document template in the prior art can not meet the complexity of the case and the needs of a user.

A system and method for adding biometric functionality to an application, and for controlling and managing passwords. The system and method include monitoring an application and providing a template matching a logon window of the application. The template obtains a biometric identifier of the user and inserts logon information into the window obtained from a database of user information.

A coin identification method and apparatus capable of reliably acquiring stable two-dimensional images of both surfaces of coins 217, and using the acquired two-dimensional images to perform identification and discrimination, reliably and at high speed, between coin denomination, types, dates and origins of mint. In a coin pathway, imaging devices 207a,b are positioned at an image-capture position such that images above and below the surface of passing coins are captured under illumination. The coin denomination is identified by geometric measurements of enhanced images, the coin type is identified by matching templates to enhanced images, and the coin date and mint are identified using template matching to segmented sub-images. In one embodiment, the coin identification information is used for the promotion of a coin counting service. The results are displayed in an entertaining and engaging manner.