| Patent application number | Description | Published |
|---|
| 20080233523 | FLARE CHARACTERIZATION AND CONTROL SYSTEM - A video analytics system for characterization of a flare. A video of a flare may be taken for obtaining information so as to appropriately control the flare in an interest of reducing emissions not necessarily favorable to the environment. The system may incorporate a control scenario involving one or more parameters of a flare which are to be controlled in view of a flare characterization from an algorithmic analysis of the video. | 09-25-2008 |
| 20100030473 | LASER RANGING PROCESS FOR ROAD AND OBSTACLE DETECTION IN NAVIGATING AN AUTONOMOUS VEHICLE - A method and system provide road and obstacle detection in navigating an autonomous vehicle. The method comprises scanning a distance ahead of the autonomous vehicle to obtain a current range scan, and obtaining navigation data, including dynamics, position, and orientation measurements of the autonomous vehicle. The current range scan is transformed to world coordinates with respect to a reference location based on the navigation data, and the transformed current range scan is input into a distance-based accumulator. The transformed current range scan is added to a variable size buffer when the autonomous vehicle is deemed to be non-stationary. A ground plane is estimated from the transformed current range scan and prior range scans stored in the variable size buffer. The estimated ground plane is represented as a constrained quadratic surface, which is classified into one or more of a traversable area, a non-traversable area, or an obstacle area for navigation of the autonomous vehicle. | 02-04-2010 |
| 20100114416 | SYSTEM AND METHOD FOR NAVIGATING AN AUTONOMOUS VEHICLE USING LASER DETECTION AND RANGING - A system and method for providing information for autonomous vehicle navigation are disclosed. The system comprises at least one laser scanner configured to perform one or more range and intensity scans of an area around the autonomous vehicle, and a geo-location unit comprising one or more global positioning system sensors and inertial navigation system sensors. The system also includes at least one processor in operative communication with the laser scanner and the geo-location unit. The processor is configured to execute one or more program modules comprising a ground plane-based processing module configured to receive range scan data transformed into world coordinates, and output ground plane-based classification data; a range-based processing module configured to receive data from a single range scan, and output range-based classification data; an intensity-based processing module configured to receive intensity scan data, and output intensity-based classification data; and a classification fusion module configured to receive the classification data from each of the processing modules, and output range bin classification data. | 05-06-2010 |
| 20100121797 | STANDOFF DETECTION FOR NITRIC ACID - In one embodiment, a method is disclosed that includes obtaining at least one measurement in a spectral domain of a sample and computing one or more measurements of the salient features in the spectral domain. The salient features correspond to at least one peak within the spectral domain. This method also includes classifying the computed salient features against a feature signature of nitric acid. In addition, this method includes determining if the chemical is present in the sample. | 05-13-2010 |
| 20100145659 | SPECTRA SIGNAL DETECTION SYSTEM - A detection system which provides for continuous background estimation removal from a sequence of spectra. A panoramic field of regard may be partitioned into a large number of fields of view (FOVs). An FOV may have a chemical vapor cloud. The small FOV may maximize detection of the cloud. Such detection may require removing the spectral characteristics other than that of the target cloud. This may amount to removal of background spectra with an estimated background developed from one or more FOVs which may or may not be similar to the background of the FOV with the target cloud. A number of estimated background spectra of the other FOVs may be used individually to greatly increase the detection probability of the target chemical. | 06-10-2010 |
| 20100220896 | METHOD AND SYSTEM FOR DETERMINING SHUTTER FLUTTERING SEQUENCE - A method, system and computer-usable medium for determining shutter fluttering sequence. The disclosed approach is based on the use of shutter flutter technology, which means that an image can be acquired in such a manner as to encode all information about the moving subject. The disclosed approach involves determining a shutter's fluttering pattern that optimally encodes information at all frequencies. The disclosed approach involves an optimization method for finding a shutter fluttering pattern that has several desired properties. These properties can be expressed in the context of a fitness function: given a fluttering pattern and the target subject's velocity, it produces the equivalent Modulation Transfer Function (MTF), measures three attributes, and produces a fitness score. These attributes are the minimum contrast, the variance in contrast across spatial frequencies, and the mean contrast. The objective of the disclosed approach is to determine the fluttering pattern that maximizes the fitness score. | 09-02-2010 |
| 20100220898 | FEATURE-BASED METHOD AND SYSTEM FOR BLUR ESTIMATION IN EYE IMAGES - A feature-based method and system for blur estimation in eye images. A blur estimation can be performed from eye/iris images in order to produce de-blurred images that are more useful for biometric identification. The eye/iris region, in particular the edge between the iris and pupil regions, can be utilized. The pattern of shutter motion or a characterization of the optical system can be utilized. By capturing a burst of images, or a video stream, one can use eye position in the images before and after a given capture to predict the motion of the eye within that capture. Because the before/after image frames need only contain the information necessary to locate the eye, and need not contain sufficient information to perform matching, the capture of these images can be accomplished with a wider range of settings. | 09-02-2010 |
| 20100220904 | INTELLIGENT IMAGE SEGMENTATION SYSTEM AND METHOD FOR ACCURATE TARGET DETECTION - Methods and apparatus are provided for dividing an image into a plurality of image chips for presentation on a display. Potential objects of interest are detected within an image by detecting features therein that correspond to objects of interest. The image is uniformly divided into a plurality of preliminary image chips. Triage image chips are generated by automatically adjusting each preliminary image chip such that the potential objects of interest detected within each preliminary image chip are at least substantially centered in each preliminary image chip. | 09-02-2010 |
| 20100239119 | SYSTEM FOR IRIS DETECTION TRACKING AND RECOGNITION AT A DISTANCE - A stand-off range or at-a-distance iris detection and tracking for iris recognition having a head/face/eye locator, a zoom-in iris capture mechanism and an iris recognition module. The system may obtain iris information of a subject with or without his or her knowledge or cooperation. This information may be sufficient for identification of the subject, verification of identity and/or storage in a database. | 09-23-2010 |
| 20110007940 | AUTOMATED TARGET DETECTION AND RECOGNITION SYSTEM AND METHOD - Methods and apparatus are provided for recognizing particular objects of interest in a captured image. One or more salient features that are correlative to an object of interest are detected within a captured image. The captured image is segmented into one or more regions of interest that include a detected salient feature. A covariance appearance model is generated for each of the one or more regions of interest, and first and second comparisons are conducted. The first comparisons comprise comparing each of the generated covariance appearance models to a plurality of stored covariance appearance models, and the second comparisons comprise comparing each of the generated covariance appearance models to each of the other generated covariance appearance model. Based on the first and second comparisons, a determination is made as to whether each of the one or more detected salient features is a particular object of interest. | 01-13-2011 |
| 20110050894 | SYSTEM AND METHOD OF TARGET BASED SMOKE DETECTION - A smoke detector includes processing circuitry coupled to a camera. The field of view of the camera contains one or more targets, each having spatial indicia thereon. The processing circuitry collects a sequence of spatial frequency measures, such as contrast indicating parameters. Members of the sequence can be compared to at least one reference spatial frequency measure to establish the presence of smoke between the target and the camera. | 03-03-2011 |
| 20110069174 | AUTHENTICATION APPARATUS FOR VALUE DOCUMENTS - A value document authentication apparatus and system that includes value document substrates having a uniform distribution of one or more phosphors that emit infrared radiation in one or more wavelengths, which can be measured at the same location on the value document that is illuminated by a phosphor exciting light source when the document passes the light source with a uniform velocity. The illumination and measurement locations on the value document can be offset. The measured infrared radiation as a series of overlapped measurements along a pre-selected track in the value document represents an intensity profile, which can be normalized after removing high variations. The normalized intensity profile of a test value document can be compared with normalized intensity profile from valid reference documents to authenticate the test value document. | 03-24-2011 |
| 20110096180 | FOURIER DOMAIN BLUR ESTIMATION METHOD AND SYSTEM - A method and system for estimating motion blur of an image associated with a moving object. The direction of one-dimensional motion blur may be estimated by inspecting a power spectrum associated with the image. A radon transform with respect to the image power spectrum is computed in the direction of the motion blur. A family of kernels with respect to the one-dimensional motion blur may then be defined utilizing a shutter triggering sequence associated with an image capturing device. The family of kernels may be modeled utilizing a modulation transfer function (MTF). Each modulation transfer function may be compared with the radon transform of the power spectrum associated with the image via a correlation function. The kernel with highest correlation with respect to the radon transform of the image power spectrum may be employed for de-blurring the image. | 04-28-2011 |
| 20110150322 | THREE-DIMENSIONAL MULTILAYER SKIN TEXTURE RECOGNITION SYSTEM AND METHOD - A three-dimensional multilayer skin texture recognition system and method based on hyperspectral imaging. Three-dimensional facial model associated with an object may be acquired from a three-dimensional image capturing device. A face reconstruction approach may be implemented to reconstruct and rewarp the three-dimensional facial model to a frontal face image. A hyperspectral imager may be employed to extract a micro structure skin signature associated with the skin surface. The micro structure skin signature may be characterized utilizing a weighted subtraction of reflectance at different wavelengths that captures different layers under the skin surface via a multilayer skin texture recognition module. The volumetric skin data associated with the face skin can be classified via a volumetric pattern. | 06-23-2011 |
