Abstract: A system and method calculate a range and velocity of an object in image data. The range calculation includes detecting a contour of the object from the image data, forming a template from the image data based on the contour; and calculating a range to the object using pixel resolution and dimension statistics of the object. A three-dimensional velocity of the object is determined by calculating a radial component and an angular component of the velocity. The radial velocity component is calculated by determining the range of the object in two or more image frames, determining a time differential between the two or more image frames, and calculating the radial velocity as a function of the range of the object in the two or more image frames and the time differential between the two or more image frames. The angular component is calculated using spatial-temporal derivatives as a function of a motion constraint equation.

Abstract: 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.

Abstract: The invention is a detection system that provides for background removal from a field of view (FOV) of spectra. A panoramic field of regard may be partitioned into a large number of FOV's. An FOV may include spectra including that of a target substance. Such detection may require removing the spectra other than that of the target. This may amount to removal of the background with an estimated background developed from spectra of one or more FOV's which may be similar to the background of the FOV with the target. An estimation of the background may be a sum of a number of FOV spectra where each spectrum is assigned a weight, the total amount of the weights being one.

Abstract: A system for detecting motion blur may include a process in which one or more digital images taken by a camera having a shutter are obtained, wherein the digital image depicts objects in a physical world. Further, the system may estimate the motion blur in the digital image using a ratio of one or more values obtained from the projection of a 2D spectrum of the image and a Fourier transform of a sequence of the shutter used in obtaining the image.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A system includes a count detector, a communication medium; and a processor coupled to the count detector. The processor continuously receives a plurality of pulses from the count detector. A pulse indicates a detection of a radiation unit emitted from a source material or a background. The processor determines a first period of time based on an expected range of speed of a carrier of the source material, and integrates the plurality of pulses over the first period of time, thereby yielding an integrated count associated with a time at a midpoint of the first period of time. The processor creates a continuous time series of count profiles from a plurality of integrated counts that are computed using a plurality of windows within the first period of time, and shifts each window over a second period of time. The second period of time is shorter than the first period of time.

Abstract: A method includes receiving radiation sensor data from two radiation sensors that are positioned separately from each other about a path. Position information identifying a source of radiation as it passes by the two radiation sensors is received. The sensor data from the two radiation sensors is time shifted to correlate the sensor data to the identified source of radiation. The time shifted sensor signals are summed.

Abstract: 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.

Abstract: A condition based method that selects an appropriate approach among various iris and ocular image recognition algorithms for matching periocular images of a probe and target as a function of quality of images to obtain robust matching even under non-ideal acquisition scenarios.

Abstract: A system and method calculate a range and velocity of an object in image data. The range calculation includes detecting a contour of the object from the image data, forming a template from the image data based on the contour; and calculating a range to the object using pixel resolution and dimension statistics of the object. A three-dimensional velocity of the object is determined by calculating a radial component and an angular component of the velocity. The radial velocity component is calculated by determining the range of the object in two or more image frames, determining a time differential between the two or more image frames, and calculating the radial velocity as a function of the range of the object in the two or more image frames and the time differential between the two or more image frames. The angular component is calculated using spatial-temporal derivatives as a function of a motion constraint equation.

Abstract: A system for detecting motion blur may include a process in which one or more digital images taken by a camera having a shutter are obtained, wherein the digital image depicts objects in a physical world. Further, the system may estimate the motion blur in the digital image using a ratio of one or more values obtained from the projection of a 2D spectrum of the image and a Fourier transform of a sequence of the shutter used in obtaining the image.

Abstract: 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. At least a portion of one of the targets is coated, at least in part, by an infra-red absorbing dye. The dye produces visually discernable dark areas on the coated target(s).

Abstract: The invention is a detection system that provides for background removal from a field of view (FOV) of spectra. A panoramic field of regard may be partitioned into a large number of FOV's. An FOV may include spectra including that of a target substance. Such detection may require removing the spectra other than that of the target. This may amount to removal of the background with an estimated background developed from spectra of one or more FOV's which may be similar to the background of the FOV with the target. An estimation of the background may be a sum of a number of FOV spectra where each spectrum is assigned a weight, the total amount of the weights being one.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.