Abstract: A prediction method for coal and gas outburst based on comparing borehole gas flow curves includes the following steps: constructing a seam-crossing borehole in the coal seam, measuring or calculating gas flow corresponding to critical gas pressure P, which is a reference gas flow Q(t)reference; performing linear regression on the reference gas flow Q(t)reference to form a reference flow curve; constructing a predicted seam-crossing borehole in a predicted area, and directly testing a gas flow at each time t in a delayed manner, which is a predicted gas flow Q(t)prediction; performing linear regression on the predicted gas flow Q(t)prediction to form a predicted flow curve; and judging whether the predicted flow curve is above the reference flow curve or whether the predicted flow curve intersects with the reference flow curve, and judging whether the coal seam in the predicted area has a risk of coal and gas outburst.

Abstract: A prediction method for coal and gas outburst based on comparing borehole gas flow curves includes the following steps: constructing a seam-crossing borehole in the coal seam, measuring or calculating gas flow corresponding to critical gas pressure P, which is a reference gas flow Q(t)reference; performing linear regression on the reference gas flow Q(t)reference to form a reference flow curve; constructing a predicted seam-crossing borehole in a predicted area, and directly testing a gas flow at each time t in a delayed manner, which is a predicted gas flow Q(t)prediction; prediction; performing linear regression on the predicted gas flow Q(t)prediction to form a predicted flow curve; and judging whether the predicted flow curve is above the reference flow curve or whether the predicted flow curve intersects with the reference flow curve, and judging whether the coal seam in the predicted area has a risk of coal and gas outburst.

Abstract: A method for detecting a double-parked vehicle includes identifying a parking region in video data received from an image capture device monitoring the parking region. The method includes defining an enforcement region at least partially surrounding the parking region. The method includes detecting a stationary vehicle in the enforcement region. The method includes determining the occurrence of an event relative to the stationary vehicle. In response to the determined occurrence of the event, the method includes classifying the stationary vehicle as being one of double parked and not double parked.

Abstract: Systems and methods are disclosed for correcting red-eye artifacts in a target image of a subject. Images, captured by a camera, including a raw image, are used to generate the target image. An eye region of the target image is modulated to correct for the red-eye artifacts, wherein correction is carried out based on information extracted from at least one of the raw image and the target image. Modulation comprises detecting landmarks associated with the eye region; estimating spectral response of the red eye artifacts; segmenting an image region of the eye based on the estimated spectral response of the red eye artifacts and the detected landmarks, forming a repair mask; and modifying an image region associated with the repair mask.

Abstract: A method, a device and a computer readable for automatically identifying a Christmas tree scene and setting a camera's focus and/or exposure parameters in a way that yields images with high image quality. The Christmas tree scene identification can be performed by segmenting the image into bright and dark regions, identifying the light objects, collecting the statistics of the light objects, and classifying the scene based on the statistics of the light objects, or by collecting the pixel value statistics for the image, and classifying the scene based on the statistics of the pixel values, or by collecting the pixel value statistics for the image, filtering the image, collecting the pixel value statistics for the filtered image, and classifying the scene by comparing the statistics of the pixel values before and after filtering. The focus and exposure settings can be adjusted based on the Christmas tree scene identification results.

Abstract: A method of color image processing for quantizing output includes obtaining an input for an object pixel which is represented by a vector in a first color space. A modified input equal to the input plus a sum of errors from other pixels in a neighborhood of the object pixel is generated. For each color component in the first color space, where corresponding color components of the modified input are located with respect to a preset range is determined. If the modified input's color component is greater than the preset range, then that color component for an output is determined to be on; if less than the preset range, then that color component for the output is determine to be off; and, if within the preset range, then that color component for the output is determined to be unknown. A transformed modified input is mapped to a perceptual color space when any color component of the output is unknown.

Abstract: A method, system, and computer-usable tangible storage device for robustly cropping and accurately recognizing license plates to account for noise sources and interfering artifacts are disclosed. License plate images and sub-images can be tightly cropped utilizing an image-based classifier and gradient-based cropping. An image-based classifier can identify the location of valid characters within the image. Because of a number of noise sources, such as, for example, residual plate rotation and shear in the characters within the image, the image-based classifier performs a “rough” identification of the image boundaries. An additional processing step utilizing gradient-based cropping is performed to fine-tune the license plate image boundaries. Gradient-based cropping eliminates unwanted border artifacts that could substantially impact the segmentation and license plate character recognition results.

Abstract: As set forth herein, systems and methods are described that facilitate to analyze a video stream from a camera mounted on the side of a school bus, wherein a sub-set of video sequences showing cars illegally passing the stopped school bus are automatically identified through image and/or video processing. The described systems and methods provide a significant savings in terms of the amount of manual review that is required to identify such violations. The video sequences also can be analyzed further to additionally produce images of the license plate (for identification of the violator), thereby providing further reduction in required human processing and review time. In one embodiment, automatic license plate recognition (ALPR) is employed to identify text on the violator's license plate, as well as the state by which the license plate was issued, without requiring human review of the license plate image.

Abstract: A method and system for detecting anomalies in video footage. A training dictionary can be configured to include a number of event classes, wherein events among the event classes can be defined with respect to n-dimensional feature vectors. One or more nonlinear kernel function can be defined, which transform the n-dimensional feature vectors into a higher dimensional feature space. One or more test events can then be received within an input video sequence of the video footage. Thereafter, a determination can be made if the test event(s) is anomalous by applying a sparse reconstruction with respect to the training dictionary in the higher dimensional feature space induced by the nonlinear kernel function.

Abstract: This disclosure provides a method and system for navigating hard copies of web pages. According to one exemplary method, a hard copy of a web page is navigated by capturing with a mobile device an image of the hard copy, performing OCR on the captured image to identify the captured web page, accessing a database to retrieve a copy of the identified web page and displaying the retrieved copy of the identified web page along with active web page links on the mobile device.

Abstract: A computer-based apparatus for labeling medications, including: a processor for a computer configured to: calculate a configuration of a first medication package using a first digital image of the first medication package; create, using the configuration, a package template; receive first prescription information including a name of a patient, a name of a medication, a dosage of the medication, an amount of the medication, and a schedule for taking the medication; create a first custom label, using the package template and the first prescription information, the first custom label including a first plurality of data fields including the first prescription information and a configuration for the first custom label; and transmit first data, including the first custom label with the first prescription information entered in the first plurality of data fields, to a printer.

Abstract: A mobile electronic device is used to decode a printed correlation mark. The device receives an image of a printed correlation mark, identifies a decoding template, applies the template to detect hidden content within the printed correlation mark, and outputs an image of the detected hidden content on the display. The device may enhance the image before presenting it on the display.

Abstract: A method, a device and a computer readable for automatically identifying a Christmas tree scene and setting a camera's focus and/or exposure parameters in a way that yields images with high image quality. The Christmas tree scene identification can be performed by segmenting the image into bright and dark regions, identifying the light objects, collecting the statistics of the light objects, and classifying the scene based on the statistics of the light objects, or by collecting the pixel value statistics for the image, and classifying the scene based on the statistics of the pixel values, or by collecting the pixel value statistics for the image, filtering the image, collecting the pixel value statistics for the filtered image, and classifying the scene by comparing the statistics of the pixel values before and after filtering. The focus and exposure settings can be adjusted based on the Christmas tree scene identification results.

Abstract: A method, a mobile image capturing device and a computer readable for capturing and processing both document and non-document images in optimized manners. The present invention contains steps: a) determining if an image to be captured is a document image or a non-document image; b) capturing and processing said image with methods and parameters optimized for document images if said determination is document; c) capturing and processing said image with methods and parameters optimized for non-document images if said determination is non-document.

Abstract: A method and system for determining one or more dimension estimations for a vehicle. A sequence of image frames of a vehicle is received, and a digital representation of the vehicle is extracted from each image in the sequence of image frames. A bounding box is determined for the vehicle based upon the extracted digital representation for each digital representation of the vehicle and at least one dimension of the vehicle is estimated based upon the determined bounding box. An indication of the at least one estimated dimension is output. The indication of at least one estimated dimension is transferred as an input to a comparison technique for further processing the indication of the at least one estimated dimension. The comparison technique can include a parking determination process configured to determine a recommended spot for the vehicle based upon the indication of the at least one estimated dimension.

Abstract: A method and a system for automating parking payment includes receiving video data in a sequence of frames provided by a video capture device observing a parking area. The method includes detecting a vehicle in the parking area using the video data. The method further includes receiving information of a vehicle in the parking area provided by a user device. The method includes comparing the characteristics of the detected vehicle with the information from the user device. In response to the characteristics of the detected vehicle being a match to the information sent from the user device, the method includes tracking the detected vehicle across the sequence of frames. The method includes computing a duration that the detected vehicle remains stationary using the tracking. The method includes computing an amount for charging the associated user device based on the duration.