Abstract: A method and system for identifying one or more features represented in a plurality of sensor acquired data sets is described. The method and apparatus is particularly useful in automatic license plate recognition applications, where the sensor acquired data sets are data obtained from one or more digital cameras. This is achieved by determining a first probability of the identity of the one or more features (eg alphanumeric characters) from a first one of the data sets; determining a second probability of the identity of the one or more features from a second one of the data sets; and, using data fusion techniques, fusing the determined first and second probabilities to provide a fused probability. This fused probability is used to identify the one or more features from data sets.

Abstract: The present invention discloses methods and systems for collecting information relating to identity parameters of a vehicle. According to the invention an image of the vehicle is obtained. A sub-image within the image is identified, interest points within the sub-image are detected and the sub-image is processed so as to obtain descriptors representing the interest points. The descriptors are matched to predetermined descriptors representing interest points in previously obtained images respective of known identity parameters and the information is stored in a record representing an identity of the vehicle.

Abstract: In response to determining that a target vehicle is at large, identification information associated with the target vehicle's license plate may be retrieved and used to generate one or more synthetic license plate images. The synthetic license plate images may be subjected to one or more transformation to cause them to resemble authentic license plate image captures and/or to mimic authentic license plate image captures from existing and operational ALPR system cameras. Target signatures may then be calculated from the synthetic license plate images. Upon capturing an authentic license plate image using an ALPR system camera, a signature of the authentic license plate image may be calculated. If a match is found between the signature of the authentic license plate image and a target signature, law enforcement may be alerted that the target vehicle was detected at the location of the ALPR system camera.

Abstract: Methods and systems for improved license plate signature matching by similarity learning on synthetic images comprise generating a plurality of synthetic license plate images; applying one or more transformations to the synthetic license plate images to cause the synthetic license plate images to more closely resemble authentic license plate image captures; and providing the synthetic license plate images as inputs to a machine distance learning algorithm in which weighted similarity scores are calculated between signatures of analogous and non-analogous license plate images and one or more sets of signature weights are iteratively adjusted to increase the likelihood that comparing analogous license plate images results in high weighted signature similarity scores and comparing non-analogous license plate images results in low weighted signature similarity scores.

Abstract: A method for determining a confidence level to be used in identifying a vehicle. The method includes receiving a vehicle image, extracting a license plate image from the at least one vehicle image, determining a license plate number and associated confidence level based upon the license plate image, and comparing the associated confidence level against a confidence threshold. If the associated confidence level is below the confidence threshold, the method further includes extracting auxiliary data from the at least one vehicle image, corresponding the extracted auxiliary data and a set of stored auxiliary data, and updating the associated confidence level to produce an updated confidence level based upon the correspondence of the extracted auxiliary data and the set of stored auxiliary data.

Abstract: The present invention provides an image detection device and an image detection method for efficiently detecting a specific image area existing within an image. The image detection device of the present invention first changes a size of an original image using an initial value of a scaling factor (enlargement/reduction ratio) against the original image and detects the specific image (e.g. number plate). Next, the image detection device carries out the change of the original image size and the detection of the specific image repeatedly by changing the scaling factor. Further, an embodiment of the present invention realizes a high speed by repeating the detection while using the enlarged or reduced images, and also realizes the high speed by determining an area where another specific image cannot exist and carrying out the detection efficiently using this information.

Abstract: Methods and systems for monitoring communication traffic in communication networks, such as Internet Protocol (IP) traffic transferred over the Internet or over a wireless network. The disclosed techniques identify communication traffic that is associated with target individuals, by extracting digital images from the traffic and recognizing target individuals who appear in the images. A correlation system monitors communication sessions that are conducted in a communication network to identify known target individuals who appear in images. Upon recognizing a target individual in an image extracted from a certain session, the system correlates this target user with one or more of the communication identifiers used in the session. The system automatically identifies IP addresses or other identifiers that are used by target individuals, and enable subsequent tracking of such identifiers.

Abstract: According to one embodiment, an imaging unit inputs a camera image of surroundings of a vehicle. The surroundings include at least one of a front side and a back side of the vehicle. A first image generation unit generates a mask image to conceal a protection region of personal information included in a region of a first vehicle on the camera image. The first vehicle exists at the front side or the back side of the user's vehicle. A surroundings-monitoring unit decides whether a second vehicle exists at a front side or a back side of the first vehicle by monitoring the camera image. A second image generation unit generates an identification image of the second vehicle when the second vehicle exists. A processing unit generates a composite image by combining the mask image and the identification image with the camera image, and displays the composite image to present to a user of the vehicle.

Abstract: Identifying a vehicle in a toll system includes accessing image data for a first vehicle and obtaining license plate data from the accessed image data for the first vehicle. A set of records is accessed. The license plate data for the first vehicle is compared with the license plate data for vehicles in the set of records. Based on the comparison of the license plate data, a set of vehicles is identified from the vehicles having records in the set of records. Second vehicle identifier data is accessed for the first vehicle and for a vehicle in the set of vehicles. Using a processing device, the second vehicle identifier data for the first vehicle is compared with the second vehicle identifier data for the vehicle in the set of vehicles. The vehicle in the set of vehicles is identified as the first vehicle based on results of the comparison.

Abstract: The present invention provides a method and a system for image identification and identification result output, which determines a location coordinate with respect to an image and a rotating angle based on at least one direction of the image according to features of the image. The image is compared to a plurality of sample images stored in a database according to the rotating angle so as to obtain at least one identification result. By means of the method and the system of the present invention, identification can be achieved with respect to various rotating angles and distances so as to improve the identification rate.

Abstract: The present invention provides a method and system for image identification and identification result output, wherein a feature image under identification acquired from an image is compared with a plurality of sample images respectively stored in a database so as to obtain a plurality of similarity indexes associated with the plurality of sample images respectively. Each similarity index represents similarity between the feature image and the corresponding sample image. Thereafter, the plurality of similarity indexes are sorted and then a least one of comparison results is output. The present invention is further capable of being used for identifying identification marks with respect to a carrier. By sorting the similarity index with respect to each feature forming the identification marks, it is capable of outputting many sets of combinations corresponding to the identification marks so as to improve speed for targeting suspected carrier and enhance the identification efficiency.

Abstract: The invention relates to a method and an apparatus for identifying motor vehicles for monitoring traffic.

Abstract: A system and method for detection of vehicle license plates including a video camera that has a first operating mode in which it generates a first image sequence of a small, strip-shaped section of its optical camera image at a high frame rate, and a second operating mode in which a second image sequence of its entire optical camera image is generated at a lower frame rate. In the first operating mode, at the time of the detection of a license plate in the first image sequence, the video camera is switched to the second operating mode to generate an image, which contains the license plate in or near the mentioned section.

Abstract: An embodiment generally relates to systems and methods for processing license plate image data. A processing module can receive an image comprising a license plate and, from the image, localize a region of the license plate itself. The license plate region can be extracted and license plate distortion parameters can be inferred. The image can be geometrically corrected using the inferred license plate distortion parameters, and the license plate image can be iteratively sharpened to optimize the quality of the license plate image. Further, processing parameters can be modified and applied to the image data in a feedback-based loop for further optimization.

Abstract: A method and system for identifying one or more features represented in a plurality of sensor acquired data sets is described. The method and apparatus is particularly useful in automatic license plate recognition applications, where the sensor acquired data sets are data obtained from one or more digital cameras. This is achieved by determining a first probability of the identity of the one or more features (e.g., alphanumeric characters) from a first one of the data sets; determining a second probability of the identity of the one or more features from a second one of the data sets; and, using data fusion techniques, fusing the determined first and second probabilities to provide a fused probability. This fused probability is used to identify the one or more features from data sets.

Abstract: Embodiments of this invention relate to detecting and blurring images. In an embodiment, a system detects objects in a photographic image. The system includes an object detector module configured to detect regions of the photographic image that include objects of a particular type at least based on the content of the photographic image. The system further includes a false positive detector module configured to determine whether each region detected by the object detector module includes an object of the particular type at least based on information about the context in which the photographic image was taken.

Abstract: A vehicle detection system for detecting the presence of at least part of a vehicle in image data, the system comprising: an interface configured to receive image data; an identifier module configured to identify a plurality of linear regions in an image represented by the image data; a comparator configured to compare at least one of the number, cumulative size, and density of the linear regions with a respective threshold value; and an output configured to issue a signal indicating the detection of a vehicle based on the results of the comparison.

Abstract: A toll violation enforcement system that contains a capture unit that receives a trigger signal and takes vehicle images of passing vehicles. A lighting unit configured to operate continuously is provided to establish a major lighting source incident on the vehicle. A processing unit is provided that processes the vehicle image and controls the settings employed by the capture unit. The processing unit preferably contains a plate location module for extracting an original resolution license plate area image from a first vehicle image; an exposure control module for controlling the exposure setting on the capture unit to provide consistent intensity of the license plate area; a resolution reset module for changing the image resolution for a second vehicle image; an image enhancement module for brightening pixels of the second vehicle image; and an image compression module for compressing the license plate area image and second vehicle image to a predetermined format.

Abstract: A system and method, which enable precise and automatic identification of characters, perform and calibrate data verification to ensure data reliability. The system can process these identified characters, such as override adverse conditions, adjusting and correcting unclear characters and their images.

Abstract: A computer implemented method for recognizing license plate image, and related computer product, computer-readable recording medium, and image recognizing apparatus using the same is provided. The method includes collecting a plurality of character template images and respectively homogenizing the character template images to generate a plurality of simulated character template images based on the license plate image. The method also includes respectively generating a plurality of similarity degrees corresponding to the simulated character template images by comparing the simulated character template images with the license plate image. The method further includes estimating at least one candidate character corresponding to the license plate image and at least one candidate character position corresponding to the at least one candidate character according to the similarity degrees corresponding to the simulated character template images.

Abstract: A license plate localization method and system based on a combination of a top-down texture analysis and a bottom-up connected component. An image with respect to a vehicle captured by an image capturing unit can be processed in order to locate and binarize a busy area. A black run with respect to the binarized image can be analyzed and classified and one or more objects (connected components) can be generated based on the black run classification. The objects can be further classified in accordance with their size utilizing a run-length based filter to filter out a non-text object. The leftover objects can then be spatially clustered and the uniformity and linearity of the clustered objects can be examined based on a linearity test. The clustered objects can be rejected if they fail the linearity test and the detected objects can further be matched with a plate edge characteristic in order to locate a license plate.

Abstract: Methods and systems for verifying automatic license plate recognition results providing an input image of a license plate to a processing system that extracts bitmap data from the provided input image and determines a particular license template image associated with the license plate input image. The processing system segments the input image bitmap data into text region bitmap data and outer region bitmap data and then matches the input image text region bitmap data and input image outer region bitmap data against text region bitmap data and outer region bitmap data, respectively, of the license plate image template to determine if there is a match between the license plate of the input image and the template license plate.

Abstract: While locating a license plate of a moving vehicle on consecutive images, motion detection is first performed on the consecutive images to detect a moving vehicle image, which is segmented using edge detection, and the segmented moving vehicle image is analyzed to retrieve characteristics for locating a license plate image and determining characters on the located license plate image. As a result, a precise location of the license plate is thus precisely located for further recognition no matter what weathers in which the consecutive images are recorded. The above-mentioned technique requires merely few calculations, is easily implemented, and may be applied on an intelligent digital video recording (DVR) system including many computer-vision functions.

Abstract: Planar calibration indices (c1) including coordinate information of at least four points are placed on a first plane (S1), and an image plane of the camera image including the calibration indices is input as a second plane (S2). Points (c2) existing on the second plane and corresponding to predetermined portions of the calibration indices are specified, and homography between the first plane and the second plane is computed, on the basis of the corresponding relationship of the at least four points included commonly in the first plane and the second plane, so that the camera image is calibrated. For example, a device is mounted on a vehicle, and four points, whose arrangement on a plane in 3D space is known, are used as calibration indices, and corresponding four points on the camera image, which correspond to them respectively, is achieved automatically.

Abstract: The present invention relates to, for example, an image pickup system having a structure capable of imaging a subject at a low power consumption and a low cost even when the subject may be dark. The image pickup system comprises an image pickup device, a peak position detecting section, a partial image acquiring section, and a partial image operating section. The image pickup device outputs image data that represents the two-dimensional intensity distribution of light incident on a photodetecting section, and outputs light intensity profile data that represents the one-dimensional intensity distribution of the incident light in each of first and second directions in the photodetecting section. The peak position detecting section detects a light intensity peak position in the two-dimensional intensity distribution of the light incident on the photodetecting section in the image pickup device, based on the light intensity profile data outputted from the image pickup device.

Abstract: A system for measuring the speed of a vehicle includes: one or more cameras (200) for capturing images of vehicles (100) on a road (50); timing means for timing the capture of the images; a processor arranged to: identify in the captured images a feature (150) of the vehicle; calculate the size in pixels of the feature (150) of the vehicle in two or more of the captured images; and determine the speed of the vehicle (100) based at least in part on the calculated sizes and the times at which each image was captured.

Abstract: A method for identifying vehicles, including capturing a first image of a first vehicle using a first camera at a first position and a second image of the first vehicle using a second camera at a second position different from the first position. The method further includes determining a transformation between the first image and the second image. A third image of a second vehicle using the first camera is captured, and the transformation is applied to the third image to generate a fourth image of the second vehicle. The fourth image is analyzed, using a database of identified vehicles, to determine an identity of the second vehicle.

Abstract: A system analyzes various design characteristics of a vehicle license plate, including character size, placement and color, to identify the state of issuance of the plate. In some embodiments, the system uses spectral properties of light reflected from a vehicle license plate to determine spectral frequency bands having the best contrast between characters on the plate and the background of the plate. For example, red characters against a white background exhibit high contrast levels at wavelengths of about 420 nm to about 595 nm. Green characters against a white background exhibit high contrast levels at wavelengths of about 600 nm to about 750 nm. Blue characters against a white background exhibit high contrast levels at wavelengths of about 550 nm to about 750 nm. Thus, spectral characteristics in combination with other design-related characteristics of a license plate may be used to identify the state of origin of the plate.

Abstract: An apparatus processes video signals containing video information related to a scene which may contain a vehicle license plate. The apparatus includes a video camera having a video imaging device for viewing the scene and generating a first video signal. A character detector in the video camera processes the first video signal to detect a license plate within the scene and to generate location information indicating the location of the license plate. A line detector in the camera determines a particular video line of the first video signal into which the location information is to be embedded. An insertion circuit in the camera embeds the location information into the particular video line of the first video signal to form a second video signal. The apparatus may also include a video capture device for receiving the second video signal from the video camera and converting the second video signal into digital image data.

Abstract: A cloud server of a data center and method integrate images of cars. The cloud server analyzes an image to obtain a license plate number of the car and generates a keyword corresponding to the image. The cloud server of the data center receives a number input by a user from a client. The cloud server of the data center matches the input number with the keyword to search an image corresponding to the input number.

Abstract: A method for determining a confidence level to be used in identifying a vehicle. The method includes receiving a vehicle image, extracting a license plate image from the at least one vehicle image, determining a license plate number and associated confidence level based upon the license plate image, and comparing the associated confidence level against a confidence threshold. If the associated confidence level is below the confidence threshold, the method further includes extracting auxiliary data from the at least one vehicle image, corresponding the extracted auxiliary data and a set of stored auxiliary data, and updating the associated confidence level to produce an updated confidence level based upon the correspondence of the extracted auxiliary data and the set of stored auxiliary data.

Abstract: An automated license plate recognition (ALPR) system and method using a human-in-the-loop based adaptive learning approach. One or more images with respect to an automotive vehicle can be segmented in order to determine a license plate of the automotive vehicle within a scene. An optical character recognition (OCR) engine loaded with an OCR algorithm can be further adapted to determine a character sequence of the license plate based on a training data set. A confidence level with respect to the images can be generated in order to route a low confidence image to an operator for obtaining a human interpreted image. The parameters with respect to the OCR algorithm can be adjusted based on the human interpreted image and the actual image of the license plate. A license plate design can be then incorporated into the OCR engine in order to automate the process of recognizing the license plate with respect to the automotive vehicle in a wide range of transportation related applications.

Abstract: An unknown named territory encloses a known physical target location that is specified by a target longitude and a target latitude. An operation is performed to identify a number of rectangular-shaped terrestrial areas that each enclose both the target longitude and the target latitude. Each of the identified rectangular-shaped terrestrial areas respectively encloses a polygonal-shaped named territory. Each polygonal-shaped named territory is defined by a respective circumscribing set of contiguously positioned vectors. An operation is performed to evaluate the circumscribing sets of contiguously positioned vectors of the polygonal-shaped named territories to determine if a given polygonal-shaped named territory includes both the target longitude and the target latitude. When both the target longitude and the target latitude are found to reside within a given polygonal-shaped named territory, the identity of the given polygonal-shaped named territory is conveyed.

Abstract: A system and method, which enables precise identification of characters contained in vehicle license plates, container LD, chassis I.D, aircraft serial number and other such identification markings. The system can process these identified characters and operate devices, such as access control (126) operations, traffic systems and vehicle (20) and container tracking and management (170) systems, and provide records of all markings together with their images.

Abstract: Control of a device including aiming a pointing device comprising a camera and a source of invisible light in the direction of an object associated with the device to be controlled, upon which object a number of retroreflective marker elements are positioned, which reflect at least a part of the invisible light emitted by the light source back to the pointing device; generating a first image of a target area aimed at by the pointing device whereby the light source is inactive; generating a second image of the target area aimed at by the pointing device whereby, invisible light is emitted by the light source in the direction of pointing; processing the target area images to determine the presence of retroreflective marker elements; using information pertaining to the retroreflective marker elements to identify the device to be controlled and/or to determine a control signal for the identified device.

Abstract: A system and method, which enables precise identification of characters contained in vehicle license plates, container I.D, chassis I.D, aircraft serial number and other such identification markings. The system can process these identified characters and operate devices, such as access control operations, traffic systems and vehicle and container tracking and management systems, and provide records of all markings together with their images.

Abstract: A vehicle tracking and locating system provides information to a user about a vehicle of interest, and includes a database controller in operative communication with a database, and configured to receive data corresponding to vehicles from a plurality of client sources, and configured to save the data as information records corresponding to each client source. A plurality of external communication devices transmit a data request by the user corresponding to the vehicle of interest. A request server receives the data request in one a variety of communication formats. An input request processor operatively coupled to the request server is configured to obtain information records from the database corresponding to the data request. An output processor operatively coupled to the request server provides data of interest from the obtained information records for transmission to the respective communication device to satisfy the user request.

Abstract: A vehicle license plate recognition method and a system thereof are disclosed. A region where a vehicle license plate image exists is detected according to the edge densities of an input image and a vehicle license plate specification. A text area of the vehicle license plate image is divided into a plurality of character images. The character images are binarized to obtain a plurality of binarized character images. A plurality of characters is recognized from the binarized character images. The characters are recombined to form a character string. The abovementioned steps are repeated to obtain a new character string from another image of the same vehicle, which is captured at a next time point. The character string is compared with the new character string character by character to obtain a comparison result for verifying reliability of recognition through a voting technique.

Abstract: According to one embodiment, a vehicle detection apparatus includes a line segment extraction unit, candidate creation unit, evaluation unit, and specific part detection unit, and the line segment extraction unit extracts a plurality of line-segment components constituting an image of a vehicle from the image formed by photographing the vehicle. The candidate creation unit carries out polygonal approximation configured to create a closed loop by using a plurality of line-segment components to create a plurality of candidates for an area of a specific part of the vehicle. The evaluation unit carries out a plurality of different evaluations for each of the plurality of candidates. Further, the specific part detection unit detects one of the plurality of candidates as the specific part based on evaluation results of the evaluation unit.

Abstract: To handle static text and logos in stabilized images without destabilizing the static text and logos, a method of handling overlay subpictures in stabilized images includes detecting an overlay subpicture in an input image, separating the overlay subpicture from the input image, stabilizing the input image to form a stabilized image, and merging the overlay subpicture with the stabilized image to obtain an output image.

Abstract: A system for monitoring and tracking vehicles in parking locations, public roadways and highway entrances and exits and other public vehicle access areas is provided, such as to monitor and track vehicles in parking spaces, public roadways and highways without the need for parking or traffic personnel. The system includes a meter system that generates image data of a vehicle in a parking space, public roadway and highway entrances and exits such as by creating an array of pixel data in a predetermined field of view that includes a vehicle identification tag and facial imaging.

Abstract: A method for analyzing image identifications to determine whether image identifications identify an entity (e.g., license plate of a vehicle). Identification sets are received from at least one optical character recognition (OCR) engine. Each identification set includes a character string and an associated confidence level. Each character string is derived by the respective OCR engine from an image of the entity. An identification set is received from each OCR engine. The character strings are compared, resulting in identifying all conflicting character strings, wherein any two non-identical character strings are considered to be conflicting. The confidence level in each identification set is analyzed, resulting in determining whether each confidence level exceeds a predefined threshold confidence level. At least one rule is applied to the preceding results to ascertain whether or not the entity has been identified. An indication of whether or not the entity has been identified is stored.

Abstract: A license plate recognition apparatus includes a detection unit configured to detect a plurality of quadrangles of license plate region candidates from input images, a character recognition unit configured to execute character recognition of a character region included in the license plate region candidate detected, and an output unit configured to select a license plate region candidate to be output from among the plurality of license plate candidates detected by the detection unit based on the character recognition result and information of the quadrangle of the respective license plate region candidates and output information relating to the license plate region candidates selected.

Abstract: Disclosed is a system and method of image-based space detection. The system includes an image selection module, a 3-layer detection mechanism and an optimization module. At least one image processing area that may affect space-status judgment is selected from plural image processing areas. The 3-layer detection mechanism having an observation layer, a labeling layer, and a semantic layer observes the information about the selected image processing area, associates with a local classification model, and adjacent local constraint model and a global semantics model to completely describe the probability distribution of the links among the three layers, and provide global label constraint information. The optimization module analyzes the probability distribution and global label constraint information, and generates an image-based optimized space detection result.

Abstract: A method is provided for locating a parked vehicle that includes, but is not limited to determination of information about the location of the vehicle, transmission of the information to a portable localization device, and storage of the information in the localization device for later retrieval of the information. The information about the environment of the vehicle is also determined and transmitted to the portable localization device, such as a mobile terminal.

Abstract: A system for identifying artifacts in an image. The system includes an input for receiving images from an imager, the images comprising a pixel of interest. The images can be generated by reflecting light off an object. The system further includes a processor coupled to the input for defining and using at least one contrast value of a second pixel associated with the pixel of interest to identify artifacts in the image.

Abstract: The invention relates to traffic flow monitoring devices. The system includes stationary traffic monitoring points that includes reading devices to receive data from electronic tag located on a vehicle, and is connected to a remote server that includes a database of vehicles and associated electronic tags, and their owners. The stationary traffic monitoring points are in the form of autonomous small-sized computer devices with a cellular communication module, and includes automatic devices for photo-video-radar recording and for processing information about vehicles and traffic situation, and with automatic software tools for determining the parameters of the vehicles, traffic laws and for comparing them with the permissible parameters for the particular road section.

Abstract: A method for analyzing image identifications. An optical character recognition (OCR) identification of an image, an associated confidence value, and a photograph of the image are received. After determining that the received confidence value is below a predefined threshold, a data store is searched to find OCR identifications matching the received OCR identification. If the searching fails to find a matching OCR identification, then a manual agent males a correct identification of the image in the received photograph; otherwise a search score associated with each OCR identification is received. If no received search scores is above a predetermined threshold, then the message is sent to the manual agent for correct identification; otherwise the correct identification is determined based on the OCR identifications associated with the search scores above the predetermined threshold and the correct identification thus determined is subsequently transmitted to a billing system.

Abstract: A handheld device is disclosed generating a tagged image of an indicator on an object. The tagged image may include an image of the indicator and a location associated with the object. A processor receives the tagged image and responds by performing Optical Character Recognition (OCR) on the image to create an indicator code. A database may be updated based upon the indicator code and the location and a report may be generated. The handheld device and processor may communicate directly and/or through a communication device and/or a server. Revenues may be generated by authenticated access to the processor, the OCR operation and/or the operations of the database. The object may be a container at least twenty feet long and/or a chassis configured to haul the container. Alternatively, the object may be a small object configured to fit in the container.

Abstract: A system in a moving surveillance vehicle operates in background mode to capture images of license plates of neighboring moving vehicles, which may occupy lanes other than the lane in which the surveillance vehicle is moving. The images are used to determine the license plate numbers of the moving vehicles, which are then checked against a database to determine whether there are any potential law enforcement-related problems that require the attention of the operator. If so, the system alerts the operator using an audible tone, visual prompt, vibration, or in some other suitable manner. The entire process, including generation of the alert can occur autonomously of the operator.