Abstract: A method comprises receiving one or more images of a person from one or more image capture devices in response to an input, identifying one or more items of personal protective equipment in the one or more images, determining the positioning of the one or more items of personal protective equipment relative to the person in the one or more images, and verifying compliance with personal protective equipment standards based on the one or more identified items of personal protective equipment and the positioning of the one or more items of personal protective equipment.

Abstract: An apparatus and method are provided that include biometric identification intrusion and access control. The apparatus features a monitoring system, a visual input device, and an audible input device. The visual and audible input devices are coupled to control circuits of the monitoring system, which can implement an authentication process responsive to both visual and audile inputs.

Abstract: Systems and methods of motion detection on encrypted or scrambled video data streams are provided. Some methods can include identifying macroblock size information for an encrypted/scrambled video data stream and using the identified macroblock size information to determine a presence of motion in the encrypted/scrambled video data stream without decrypting and descrambling the encrypted/scrambled video data stream.

Abstract: Systems and methods for detecting motion in compressed video are provided. Some methods can include parsing a stream of compressed video, obtaining macroblock size information from the parsed stream, computing factors derived from the macroblock size information, computing adaptive threshold values derived from relative frame characteristics of the compressed video, comparing the factors derived from the macroblock size information with the adaptive threshold values, and detecting motion based upon the comparing when at least one of the factors exceeds at least one of the adaptive threshold values. In some embodiments, detecting the motion can include performing spatio-temporal filtering on macroblocks in which the motion is detected or performing spatio-temporal filtering on at least one non-motion macroblock.

Abstract: A method and apparatus wherein the method includes the steps of parsing a stream of compressed video, obtaining macroblock size information from the parsed stream, computing factors derived from the macroblock size, wherein the factors include a normalized bit size, a bit size ratio and a neighbor score, computing corresponding adaptive threshold values derived from the relative frame characteristics of the compressed video, comparing the factors derived from the macroblock size information with the corresponding adaptive threshold values and detecting motion based upon combinations of the comparisons when the factors exceed the threshold value.

Abstract: A visual system including a near-to-eye display supported by a frame adapted to be worn by a user such that each display is positioned proximate an eye of a wearer, a set of cameras supported by the frame, the cameras having different overlapping fields of view, and a processor coupled to receive images from the cameras and adapted to integrate and transform images from the set of cameras to provide a mosaic image for viewing on the display having a wider field of view than an individual camera provides.

Abstract: 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.

Abstract: A system receives data associated with an orphaned item, compares the data associated with the orphaned item to data in a database, generates a list of candidate items based on the comparison, and identifies the orphaned item as a function of the list of candidate items.

Abstract: A system receives data associated with an orphaned package, compares the data associated with the orphaned package to package data in a database, generates a list of candidate packages based on the comparison, and identifies the orphaned package as a function of the list of candidate packages.

Abstract: A workflow management system for managing the storage, retrieval, and transport of items in a warehouse includes a voice-directed mobile terminal. The system also includes a server computer in communication with the voice-directed mobile terminal. The server computer includes a tasking module for transmitting task data to the voice-directed mobile terminal. The server computer also includes a workflow-analysis module for generating, based at least in part upon an analysis of workflow dialog between the voice-directed mobile terminal and the user, performance data relating to the performance of tasks associated with the storage, retrieval, and/or transport of the items.

Abstract: 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.

Abstract: Methods, systems, and computer-readable and executable instructions are described herein. One method includes dividing an enclosure into a number of first field elements and a number of second field elements, determining radiance of a number of first imaging elements and a number of second imaging elements of the enclosure using images of the enclosure, estimating a radiance field and converged parameters of the number of first field elements of the enclosure using initialized parameters of the number of first field elements and the determined radiance of the number of first imaging elements, and estimating a radiance field and converged parameters of a number of second field elements of an enclosure using converged parameters of the number of first field elements, the estimated radiance of the number of first field elements, and the determined radiance of the number of second imaging elements.

Abstract: A process is provided for estimating a three-dimensional (3D) radiance field of a combustion process in an enclosure. An on-line intensity-temperature calibration is performed based on an association between an intensity of an image pixel and an actual temperature associated with a selected region in the enclosure. The intensity of the corresponding image is transformed to a radiance image based on settings of an image-capturing device and the on-line calibration. A registration and alignment estimation of the image is performed based on positional information of the enclosure. The radiance image is aligned based on the registration estimation. The 3D radiance field having voxels of the enclosure is estimated based on a two-dimensional to 3D transforming of the aligned radiance images.

Abstract: A process is provided for estimating temperatures in an enclosure during a combustion process. An association is determined between an intensity of an image pixel of a field of view (FOV) generated by an image-capturing device, a temperature measurement, and device settings of the image-capturing device. An on-line intensity-temperature calibration is performed based on the association between the intensity of the image pixel and the corresponding temperature in the FOV in the enclosure. The intensity of the corresponding image is transformed to the temperature based on intensity-temperature calibration related to the device settings of the image-capturing device. Using a computer processor, the need for maintenance of the image-capturing device is determined based on degradation of the intensity-temperature calibration.

Abstract: Systems, methods, and computer-readable and executable instructions are provided for detecting a use of personal protective equipment (PPE). Detecting a use of PPE can include collecting contact data from a number of touch sensitive sensors attached to the PPE. Furthermore, detecting a use of PPE can include determining if the PPE is in proper use based on the collected contact data.

Abstract: A process is provided for estimating a three-dimensional (3D) radiance field of a combustion process in an enclosure. An on-line intensity-temperature calibration is performed based on an association between an intensity of an image pixel and an actual temperature associated with a selected region in the enclosure. The intensity of the corresponding image is transformed to a radiance image based on settings of an image-capturing device and the on-line calibration. A registration and alignment estimation of the image is performed based on positional information of the enclosure. The radiance image is aligned based on the registration estimation. The 3D radiance field having voxels of the enclosure is estimated based on a two-dimensional to 3D transforming of the aligned radiance images.

Abstract: Methods, systems, and computer-readable and executable instructions are described herein. One method includes combining a plurality of images of a furnace into a composite image of the furnace, revising the composite image of the furnace to an intensity scaling, restoring a portion of the revised composite image of the furnace; and displaying a view of the restored revised composite image of the furnace to a user.

Abstract: Methods, systems, and computer-readable and executable instructions are described herein. One method includes dividing an enclosure into a number of first field elements and a number of second field elements, determining radiance of a number of first imaging elements and a number of second imaging elements of the enclosure using images of the enclosure, estimating a radiance field and converged parameters of the number of first field elements of the enclosure using initialized parameters of the number of first field elements and the determined radiance of the number of first imaging elements, and estimating a radiance field and converged parameters of a number of second field elements of an enclosure using converged parameters of the number of first field elements, the estimated radiance of the number of first field elements, and the determined radiance of the number of second imaging elements.

Abstract: A method and apparatus wherein the method includes the steps of parsing a stream of compressed video, obtaining macroblock size information from the parsed stream, computing factors derived from the macroblock size, wherein the factors include a normalized bit size, a bit size ratio and a neighbor score, computing corresponding adaptive threshold values derived from the relative frame characteristics of the compressed video, comparing the factors derived from the macroblock size information with the corresponding adaptive threshold values and detecting motion based upon combinations of the comparisons when the factors exceed the threshold value.

Abstract: Devices, methods, and systems for covert bar code pattern design and decoding are described herein. One covert bar code includes detector code and decoder code. The detector code includes a combination of responsive absorptive material and responsive reflective material, and the decoder code includes a combination of responsive absorptive material and responsive reflective material.