Abstract: Embodiments of the invention relate to systems, methods, and computer program products for extracting check data and using the check data for determining a disposition of a check. The system, method, and computer program product are configured to: a) receive an image of a check; b) apply an optical character recognition process to at least a portion of the image of the check; c) convert one or more image portions of the at least a portion of the image to text based data based at least partially on the application; d) identify a date of the check based on the text based data obtained from the one or more image portions; e) compare the date of the check to one or more authorization parameters; and f) provide a disposition of the check based on the comparison of the date of the check to the one or more authorization parameters.

Abstract: A JPEG encoding process may generate entropy encoded data indexing auxiliary information. With the assistance of such auxiliary information, a quick JPEG decoder is implemented to significantly improve the performance of processing large sized JPEG images on the mobile systems with limited computation power.

Abstract: A method and system for characterizing cell motion comprising: receiving image data corresponding to a set of images of a cell culture captured at a set of time points; segmenting, from at least one image of the set of images, a cell subpopulation from the cell culture; determining a resting signal for the cell subpopulation; determining a single-peak motion signal based upon the set of images, the set of time points, and the resting signal; detrending the single-peak motion signal of the cell subpopulation based upon the resting signal; determining values of a set of motion features of the cell subpopulation, thereby characterizing cell motion; and clustering the cell subpopulation with at least one other cell subpopulation based upon at least one of the single-peak motion signal and a value of the set of motion features.

Abstract: A positron CT apparatus of this invention includes a first detecting device and a first image processing device for acquiring a 3D image of a first site of interest. Further, a second detecting device and a second image processing device are provided for acquiring a real planar image of the first site of interest and a second site of interest. A calculated planar image calculating device calculates, based on the 3D image, data corresponding only to the first site of interest projected to the real planar image. A correcting device provides a corrected planar image corresponding only to the second site of interest by subtracting the calculated planar image from the real planar image. Thus, the 3D image corresponding to the first site of interest and the corrected planar image with a projection of the second site of interest can be acquired at the same time through one diagnosis.

Abstract: A system and method for contactless multi-fingerprint collection is disclosed. The contactless multi-fingerprint collection system includes an imaging volume, a user interface configured to provide feedback to the subject regarding a proximity of a hand to a desired imaging location within the imaging volume, and at least one image capture device to capture images of each of the plurality of fingerprints at each of at least two different depths from the fingerprints. The contactless multi-fingerprint collection system also includes a processor coupled to the at least one image capture device that is programmed to generate a composite image and a contour map of each of the plurality of fingerprints from the images captured at the at least two different depths and generate a two-dimensional rolled equivalent image of each of the plurality of fingerprints from the composite image and the contour map.

Abstract: A system and method for user identification and personalization based on automotive identifiers are described. Image data of a vehicle is received from an image capture device. Vehicle identification information is extracted from the image data. A data record associated with a user is retrieved using the vehicle identification information. A personalized communication for the user is generated based on the retrieved data record. The personalized communication may be transmitted to a device. The personalized communication may comprise a recommendation.

Abstract: A system and method are provided to automatically assess a confidence in imaging data based on a proposed diagnostic task or treatment decision, by determining one or more imaging quality indicators relating to the imaging data corresponding to a confidence of the proposed diagnostic task or treatment decision, comparing those imaging quality indicators with confidence benchmark values, and determining a confidence value indicative of the confidence in the imaging data for purposes of performing the proposed diagnostic task or making the proposed treatment decision.

Abstract: Embodiments of the invention include systems, methods, and computer-program products for lifting metadata from financial documents to allow for automated exception processing. As such, allowing for automated decisions for exception processing to systematically be resolved base on matches between lifted metadata. The exceptions may include one or more irregularities such as bad micro line reads, outdated check stork, or misrepresentative checks that may result in a failure to match the check to an associated account for processing. As such, once an exception is identified during the processing the metadata lifted from the document with the exception may be utilized to search financial records at the financial institution to attempt to identify the correct version of the document. Subsequently, the system may correct the irregularity systematically and automatically.

Abstract: A tracking apparatus includes a grouping setting unit, a tracking feature detection unit, a tracking unit. The grouping setting unit groups a plurality of focus detection areas with an in-focus state. The tracking feature detection unit detects a feature amount of the tracking target in areas of the groups grouped. The tracking unit tracks the tracking target in accordance with a first or second tracking position depending on the number of the set groups.

Abstract: A method and system for embedding a watermark in block encrypted content, including encoding a bit string, the bit string including n bits, denoted b0-bn?1, the encoding including translating each bit, b0-bn?1, into a block of data, according to the following rule if bi=1, then translate bi into a block of data of a first type, and if bi=0, then translate bi into a block of data of a second type, thereby translating the n bits into n blocks of data corresponding to each bit b0-bn?1, arranging a composite block of data including the n blocks of data, and at least one additional block indicating the presence of the n blocks of data, and inserting the composite block of data into a content item as a watermark, wherein the watermarked content item is encrypted using an ECB mode of encryption. Related methods and apparatus are also described.

Abstract: An image processing apparatus and method may accurately separate only humans among moving objects, and also accurately separate even humans who have no motion via human segmentation using a depth data and face detection technology. The apparatus includes a face detecting unit to detect a human face in an input color image, a background model producing/updating unit to produce a background model using a depth data of an input first frame and face detection results, a candidate region extracting unit to produce a candidate region as a human body region by comparing the background model with a depth data of an input second or subsequent frame, and to extract a final candidate region by removing a region containing a moving object other than a human from the candidate region, and a human body region extracting unit to extract the human body region from the candidate region.

Abstract: Image comparison techniques allow a quick method of recognizing and identifying faces or other objects appearing in images. A series of quick distance calculations can be performed between an unknown input image and a reference image. These calculations may include facial detection, normalization, discrete cosine transform calculations, and threshold comparisons to determine whether an image is recognized. In the case of identification uncertainty, slower but more precise motion aligned distance calculations are initiated. Motion aligned distance calculations involve generating a set of downscaled images, determining motion field and motion field-based distances between an unknown input image and reference image, best scale factors for aligning an unknown input image with reference images, and calculating affine transformation matrices to modify and align an unknown input image with reference images.

Abstract: A method and system for automatically determining a localizer in a scout image. The method comprises obtaining a 3D model best matched to an object to be scanned and projecting a localizer in the best matched 3D model onto a scout image of the object to be scanned to obtain an optimal localizer. The system comprises an obtaining device for obtaining a 3D model best matched to an object to be scanned and a determining device for projecting a localizer in the best matched 3D model onto a scout image of the object to be scanned to obtain an optimal localizer.

Abstract: A method for removing a shadow from an aerial or satellite photograph, includes collecting aerial or satellite photographs, by the photographing information collecting unit; extracting buildings at each of the collected aerial or satellite photographs, by the building information extracting unit; and estimating a shadow area cast by the extracted buildings, by the shadow area estimating unit. Further, the method includes restoring a shaded image in the aerial or satellite photograph, which corresponds to the estimated shadow area, by the image restoration unit; and composing the restored image and a residual image of the aerial or satellite photograph except the shadow area, by the image composition unit.

Abstract: An information processing apparatus includes an image generation unit that generates an image to be displayed at a terminal; a moved area detecting unit that detects a moved area in the image; a determining unit that determines whether the moved area includes a changed partial area that is different before and after the movement; an identifying unit that identifies the changed partial area as a frequently-changed area when the changed partial area is changed within a predetermined period of time for a number of times greater than or equal to a threshold; a first transmission unit that transmits image data of the changed partial area not identified as the frequently-changed area to the terminal; a second transmission unit that transmits video data of the frequently-changed area to the terminal; and a third transmission unit that transmits movement and size information of the moved area to the terminal.

Abstract: A system and method for processing video is disclosed. The method includes receiving video of an area; determining a movement profile for each of a plurality of movable objects in the video; determining an interest-rating for each movable object of the plurality of movable objects based on a correlation between the movement profile of that object and a template; and identifying a sub-portion of the video based upon the interest-ratings.

Abstract: An object detection apparatus comprises a detection unit configured to calculate a detection likelihood from each of the plurality of frame images obtained by an image obtaining unit, and to detect a target object from each of the frame images based on the detection likelihood; and a tracking unit configured to calculate a tracking likelihood of the target object from each of the plurality of frame images, and to track the target object over the plurality of frame images based on the tracking likelihood, wherein the detection unit detects the target object from the frame images obtained by the image obtaining unit based on the tracking likelihood of the target object that is calculated by the tracking unit from the frame images, and the detection likelihood of the target object that is calculated by the detection unit from the frame images.

Abstract: Various embodiments are disclosed for performing object tracking. One embodiment is a method for tracking an object in a plurality of frames, comprising obtaining a reference contour of an object in a reference frame and estimating, for a current frame after the reference frame, a contour of the object. The method further comprises comparing the reference contour with the estimated contour and determining at least one local region of the reference contour in the reference frame based on a difference between the reference contour and the estimated contour. Based on the difference, at least one corresponding region of the current frame is determined.

Abstract: Certain aspects direct to a laser projection pavertizing system, which includes a camera, a laser projector, and a controller. The camera is configured to capture the image frames of the projection area. When the controller receives image frames from the camera, the controller processes the image frames to detect at least one target existing in the projection area, generates projecting parameters for each of the at least one target, and sends the projecting parameters to the laser projector. Upon receiving the projecting parameters, the laser projector projects a pattern for each of the at least one target on the projection area at a predetermined distance from the at least one target in accordance with the projecting parameters such that the pattern is viewable for the at least one target.

Abstract: Disclosed is a method for correcting for shimmer due to thermal turbulence, even for moving subjects, on a time smoothed base. The device is provided with: a movement compensation means that, for a correction-targeted block of a correction-targeted image within an input image, uses a temporally proximate correction image to derive movement information about a moving object, performs motion compensation, and outputs a correction block and a cost value; and a shimmer correction means that carries out time averaging processing, in accordance with the cost value, of the correction-targeted block and the correction block, and outputs a corrected block in which shimmer of the moving object has been corrected, and correction information. Through two-stage motion detection, the movement compensation means extracts and compensates for movement of a moving object, in a manner unaffected by thermal turbulence.