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968results about How to "Improve recognition rate" patented technology

Coal-rock interface identifying method and system based on image

The invention discloses a coal-rock interface identifying method and system based on an image. The method comprises the following steps of: acquiring multiple color images of coal and rock on a coal mining working face; extracting a vector based on an image characteristic serving as a sample characteristic vector specific to each color image to obtain a known sample set of coal and rock; and establishing a coal-rock classifier model by adopting a Fisher linear judging method and taking the known sample set of the coal and rock as a training sample set. In the working process of a coal mining machine, a color image of the coal and rock which is cut by using a drum is acquired in real time, and the extracted characteristic vector is input into the coal-rock classifier model to identify a coal-rock type. The system consists of a light source module, an imaging module, a processing module and an anti-explosion shell. The coal-rock interface identifying method and the system provided by the invention have the characteristics of simple structure, easiness for distributing, high suitability and the like, the coal-rock type cut by using the drum can be automatically identified in real time, and reliable coal-rock interface information is provided for automatic heightening of the drum of the coal mining machine.

Apparatus and System for Recognizing Environment Surrounding Vehicle

In conventional systems using an onboard camera disposed rearward of a vehicle for recognizing an object surrounding the vehicle, the object is recognized by the camera disposed rearward of the vehicle. In the image recognized by the camera, a road surface marking taken by the camera appears at a lower end of a screen of the image, which makes it difficult to predict a specific position in the screen from which the road surface marking appears. Further, an angle of depression of the camera is large, and it is a short period of time to acquire the object. Therefore, it is difficult to improve a recognition rate and to reduce false recognition. Results of recognition (type, position, angle, recognition time) made by a camera disposed forward of the vehicle, are used to predict a specific timing and a specific position of a field of view of a camera disposed rearward of the vehicle, at which the object appears. Parameters of recognition logic of the rearwardly disposed camera and processing timing are then optimally adjusted. Further, luminance information of the image from the forwardly disposed camera is used to predict possible changes to be made in luminance of the field of view of the rearwardly disposed camera. Gain and exposure time of the rearwardly disposed camera are then adjusted.

Character extracting method in digital video based on character segmentation and color cluster

The invention relates to a character extracting method in a digital video based on character segmentation and color cluster, which comprises the following steps: (1) character segmentation: utilizing the characteristic differences of a character area and a character interval area to carry out vertical projection to segment images in the character area, namely, segmenting each row of area image containing a plurality of characters into a plurality of subarea images only containing a single character so as to reduce the post operating and treating difficulties and improve the identifying accuracy rate of OCR; and (2) character extraction: firstly, using the character color characteristic in the image to cluster colors, finding out an image layer containing maximum character information as a target image layer, and deleting the background area; and then, using the communicating characteristics of the characters to analyze a communicating area of the target image layer, and removing non-character areas to obtain such three results as single character images, an integral image of the character area and an integral image spliced by the single character images respectively, wherein all the three results are input to an OCR system to be identified, and the latter two results use the semantic processing function of the OCR and can accurately determine the characters with similar forms according to the context to improve the identifying effect.

Vehicle information detecting and recognizing system under multilane condition

The invention discloses a vehicle information detecting and recognizing system under the multilane condition. The vehicle information detecting and recognizing system comprises a computer system and a portal frame stretching over lanes, wherein a laser scanner and a high-definition license plate recognition device are arranged on the portal frame, a first dot matrix type wheel shaft sensor, a shaft weight sensor and a second dot matrix type wheel shaft sensor are sequentially arranged on the lane under the portal frame, and the laser scanner, the high-definition license plate recognition device, the first dot matrix type wheel shaft sensor, the shaft weight sensor and the second dot matrix type wheel shaft sensor are respectively connected with the computer system. The vehicle information detecting and recognizing system has the advantages that the two-dimension cross section size and the running position of a vehicle are detected through the laser scanner, and the vehicle three-dimension reconstitution and the vehicle separation are realized; the license plate information and the human face information are precisely collected through the license plate recognition device; the vehicle information such as the shaft distance, the shaft length, the shaft number, the shaft type, the wheel distance, the wheel width and the wheel number are measured according to signals output after a vehicle tyre presses the wheel shaft sensor; and the shaft weight and the total weight are measured through the shaft weight sensor.

Video monitoring system and method for target detection and tracking

The invention relates to a video monitoring system and method for target detection and tracking. The system comprises a video collection device, a target detection device, an information processing device, an information transmission device and an image collection device, wherein the image collection device is composed of a front end image collection device and a video decoding device and is usedfor obtaining a real-time video stream of a target object; the target detection device analyzes the position and the size of the target object in a video image; the information processing device performs real-time processing on related information of the target object within a continuous time to obtain a moving speed, a trajectory and direction information of the target object, and judges the number, the location and the size information of the target object in advance; the information transmission device sends the related information of the target object to the image collection device; and the image collection device controls the target object to always locate in a middle area of the screen and tracks the target object in real time. According to the video monitoring system and method, thetracking of numerous small targets is facilitated according to the deep neural network with multiple features, the recognition rate is improved, and it is beneficial to the good running of the tracking algorithm, and real-time tracking of the target object is achieved.

Method and system for detecting application program behavior legality

A method for detecting the legitimacy of an application program behavior comprises the following steps: monitoring one or more system interfaces of a computer to cause the monitored system interfaces to jump to a monitoring module for execution when the monitoring system interfaces receive a call; blocking the application program of a caller and judging the validity of the caller: permitting the caller to call an interface function and continuously perform the application program of the caller if the caller is legal; and, pausing the behavior of the application program of the caller and issuing an intrusion alarm if the caller is illegal. The detection method finds out whether an executor of the application program behavior is legal or not by monitoring the system interfaces of the computer so as to intercept the program behavior executed by illegal executors and give an alarm. Compared with the existing fuzzier behavioral analysis technology, the detection method has the advantages of low false alarm rate, high recognition rate and the like, especially has good defense effect against the intrusion behavior due to overflow vulnerability, so the detection method is an effective supplement to the existing behavior analysis defense technology.

Method for quickly identifying two-dimension code system type in images

The invention discloses a method for quickly identifying two-dimension code system type in images, comprising a learning training process and a classification identifying process. The learning training process is as follows: collecting and building a sample image set of various two-dimension code images; converting each sample image into a grey image, performing Gaussian smoothing filtering and binaryzation to obtain binaryzation images; scanning prospect boundaries of the binaryzation images in the horizontal and vertical directions, obtaining an outer boundary point set of the two-dimension code; enabling the two-dimension code to be horizontal by rotating images, achieving horizontal correction of the two-dimension code; performing partitioning, combining and normalizing for the two-dimension code; performing fast wavelet transform for the normalized sample image to obtain a wavelet characteristic sample set. The classification identifying process is as follows: extracting wavelet characteristic of the to-be-identified image to build a distance measurement model; using the K nearest neighbor algorithm to identify code system type. The method is convenient and quick, has real-time performance, accuracy and high identification rate.

SAR image target recognition method based on sparse representation

The invention discloses an SAR image target recognition method based on sparse representation. The SAR image target recognition method based on sparse representation mainly resolves the problem that an existing method is complex in preprocessing and difficult in estimation of an azimuth angle. The SAR image target recognition method based on sparse representation comprises the steps of (1) extracting partial features of an image and studying a recognizable dictionary through a diversity density function; (2) carrying out sparse encoding on each partial feature through the dictionary, and then carrying out space pooling on each divided sub-area through a space domain pyramid structure to obtain feature vectors of the sub-areas samples of a training set and a test set; (3) weighing the corresponding sub-areas of a test sample according to the sparsity of each sub-area of the test sample; and (4) combining the weighed sub-areas together and recognizing the image through a sparse representation method. Compared with the prior art, the SAR image target recognition method based on sparse representation has high robustness for shielded and partial noise, improves the recognition accuracy of an SAR target without estimating the azimuth angle, and can be used for image processing.

Face recognition method based on reference features

ActiveCN102637251AComprehensive representationSimplify the feature extraction processCharacter and pattern recognitionKernel principal component analysisPrincipal component analysis
The invention discloses a face recognition method based on reference features. The method comprises the following steps that: scale invariant features and local binary pattern features of a face image to be recognized are extracted; a principal component analysis method is utilized for dimensionality reduction to obtain the image features of the face image to be recognized; the similarity of the image features to a cluster center is calculated by utilizing the obtained image features to obtain the reference features of the face image to be recognized; and the similarity of the reference features of the face image to be recognized and the reference features of training data concentration is calculated to obtain an analysis result. The reference features of the face image provided by the invention comprise texture information and structure information of the face image, so that the method provided by the invention can more comprehensively represent the face compared with the method in the prior art, which only represents the texture information or the structure information of the face. The process of feature extraction is simple and easy to realize; the recognition result is highly precise; high recognition rate of different facial gestures of the same person is realized.

Registering method and system of face identification access control

The invention provides a registering method and system of face identification access control. The system comprises a mobile terminal, a server and at least one access control device; the method comprises following steps of associating the mobile terminal with an indoor unit; sending the associated mobile terminal information to the server; collecting face data through the build-in camera of the mobile terminal; sending the collected face data information to the server; receiving and storing the face data information sent from the mobile terminal by the server; searching the access control device associated with the mobile terminal information; informing the access control device of downloading the face data information; receiving the downloading notice of the server by the access control device; downloading the face data from the server; registering the downloaded face data in the access control device; associating with a user; and finishing registering. According to the method and the system provided by the invention, the face data can be updated timely; the face can be identified and registered very conveniently; moreover, the face database is enriched; and the identification rate of the access control device in identifying the face is improved.
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