Abstract: A system and method for detecting electronic device use by a driver of a vehicle including acquiring an image including a vehicle from an associated image capture device positioned to view oncoming traffic, locating a windshield region of the vehicle in the captured image, processing pixels of the windshield region of the image for computing a feature vector describing the windshield region of the vehicle, applying the feature vector to a classifier for classifying the image into respective classes including at least classes for candidate electronic device use and candidate electronic device non-use, and outputting the classification.

Abstract: What is disclosed is a system and method for embedding a time-varying physiological signal corresponding to a physiological function of a subject into a video. In one embodiment, a video of a subject is received along with a time-varying signal corresponding to a physiological function of the subject. A representative image is obtained from the video. The received time-varying signal is divided into a plurality of signal segments. The obtained image is repeatedly replicated to generate a video sequence. The signal segments are encoded in the images comprising the generated video sequence. The video sequence containing the encoded physiological signal is then compressed using a video compression technique.

Abstract: What is disclosed is system and method for contemporaneously reconstructing images of a scene illuminated with unstructured and structured illumination sources. In one embodiment, the system comprises capturing a first 2D image containing energy reflected from a scene being illuminated by a structured illumination source and a second 2D image containing energy reflected from the scene being illuminated by an unstructured illumination source. A controller effectuates a manipulation of the structured and unstructured illumination sources during capture of the video. A processor is configured to execute machine readable program instructions enabling the controller to manipulate the illumination sources, and for effectuating the contemporaneous reconstruction of a 2D intensity map of the scene using the second 2D image and of a 3D surface map of the scene using the first 2D image. The reconstruction is effectuated by manipulating the illumination sources.

Abstract: What is disclosed is a system and method for compensating for motion during processing of a video of a subject being monitored for physiological function assessment. In one embodiment, image frames are received. Successive batches of N video frames are processed to isolate pixels associated with a body region of the subject where a physiological signal is registered by the camera. The pixels are processed to obtain a time-series signal for each batch. A determination is made whether movement during video acquisition of this batch of image frames exceeds a threshold level. If so then a size N of the next batch of image frames is changed to: N=N+M1, where N+M1?Nm. Otherwise, a size N of a next batch is changed to: N=N?M2, where N?M2?Nmin. Thereafter, processing repeats in a real-time continuous manner as the next batch of the N image frames is received. Various embodiments are disclosed.

Abstract: What is disclosed is a system and method for assessing peripheral vascular disease from a thermal image captured using a thermal imaging system. In one embodiment the present method involves the following. First, a thermal image is received of a region of exposed skin of a peripheral body part of a subject being monitored for PVD. The thermal image was acquired by a thermal imaging system. Pixels in the thermal image each have a corresponding temperature value. The thermal image is analyzed to stratify the peripheral body part into a plurality of skin surface regions. A skin surface temperature for each respective skin surface region is identified based on pixels in the thermal image associated with those regions. The temperatures are then extracted such that a progression of temperatures can be ascertained. A method for forecasting the progression for future times is also disclosed.

Abstract: What is disclosed is a system and method for determining whether a patient has an acute respiratory infection. In one embodiment, the present method involves using a handheld device to acquire an audio signal of a sound made by a patient coughing. The audio signal is then communicated, by the handheld device, to a remote computing device. Upon receiving the audio signals, signal are repeatedly retrieved from a database of signals associated with different severities of various acute respiratory conditions. A comparison is made between the received audio signal and the retrieved signals. As a result of the comparison, a determination is made whether the patient has an acute respiratory infection. An audio playback device may be employed for playing the audio signal so that a medical professional can listen to that audio signal and facilitate the determination. Various embodiments are disclosed.

Abstract: A method for reconstructing an image of a scene captured using a compressed sensing device. A mask is received which identifies at least one region of interest in an image of a scene. Measurements are then obtained of the scene using a compressed sensing device comprising, at least in part, a spatial light modulator configuring a plurality of spatial patterns according to a set of basis functions each having a different spatial resolution. A spatial resolution is adaptively modified according to the mask. Each pattern focuses incoming light of the scene onto a detector which samples sequential measurements of light. These measurements comprise a sequence of projection coefficients corresponding to the scene. Thereafter, an appearance of the scene is reconstructed utilizing a compressed sensing framework which reconstructs the image from the sequence of projection coefficients.

Abstract: What is disclosed is a novel system and method for extracting photoplethysmographic (PPG) signals (i.e., cardiac signals) on a continuous basis from signals generated from video images captured of a subject being monitored for cardiac function in a non-contact remote sensing environment. In one embodiment, a time-series signal is received. The time-series signal is generated from video images captured of a region of exposed skin where a PPG signal of a subject of interest can be registered. The time-series signal is then divided into batches for processing, with successive batches having at least a 95% overlap with a previous batch. Each of the batches of time-series signals is processed to obtain a PPG signal from each batch. A mid-point of each of these PPG-signals is stitched together to obtain a continuous PPG signal for the subject. The continuous PPG signal for the subject can then viewed on a display device.

Abstract: What is disclosed is a handheld device having at least one illuminator for projecting source light and a video camera for capturing images of a region of interest of a subject being monitored for a desired physiological function. The handheld device is positioned such that light reflected off the subject's region of interest is received by a sensor. A determination is then made as to how a physiological signal extracted from video images captured by the video camera can be improved by an adjustment to the illuminator with respect to intensity, spectrally, spatially, and/or temporally, to improve accuracy of a measurement of a desired physiological function. The illuminator is adjusted and video images of a region of interest are captured by the video camera and processed to extract a physiological signal corresponding to that physiological function. That signal is used to monitor the desired physiological function. Various embodiments are disclosed.

Abstract: What is disclosed is a system and method for identifying materials comprising an object captured in a video and for using the identified materials to track that object as it moves across the captured video scene. In one embodiment, a multi-spectral or hyper-spectral sensor is used to capture a spectral image of an object in an area of interest. Pixels in the spectral planes of the spectral images are analyzed to identify a material comprising objects in that area of interest. A location of each of the identified objects is provided to an imaging sensor which then proceeds to track the objects as they move through a scene. Various embodiments are disclosed.

Abstract: What is disclosed is a novel system and method for simultaneous spectral decomposition suitable for image object identification and categorization for scenes and objects under analysis. The present system captures different spectral planes simultaneously using a Fabry-Perot multi-filter grid each tuned to a specific wavelength. A method for classifying pixels in the captured image is provided. The present system and method finds its uses in a wide array of applications such as, for example, occupancy detection in a transportation management system and in medical imaging and diagnosis for healthcare management. The teachings hereof further find their uses in other applications where there is a need to capture a two dimensional view of a scene and decompose the scene into its spectral bands such that objects in the image can be appropriately identified.

Abstract: An embodiment generally relates to systems and methods for estimating heart rates of individuals using non-contact imaging. A processing module can process multi-spectral video images of individuals and detect skin blobs within different images of the multi-spectral video images. The skin blobs can be converted into time series signals and processed with a band pass filter. Further, the time series signals can be processed to separate pulse signals from unnecessary signals. The heart rate of the individual can be estimated according to the resulting time series signal processing.

Abstract: A system and method for enhancing images including an image capture device operably connected to a data processing device that captures an image of a target vehicle, and a processor-usable medium embodying computer code, said processor-usable medium being coupled to said data processing device, said computer program code comprising instructions executable by said processor. The instructions configured for identifying a region within the image including a window of the target vehicle, applying a first image enhancement effect to the identified region, applying a second image enhancement effect to a remainder of the image not including the identified region, the second image enhancement effect different than the first image enhancement effect.

Abstract: A computer-based apparatus including a computer including a processor arranged to select a first video regarding a medical condition; create a second video including segments from the first video; transmit the second video for viewing by qualified medical personnel; receive input from the personnel; based on the input confirm accuracy of a first segment or modify a second segment or delete a third segment; create, from the second video, by at least including the first or second segment or deleting the third segment; transmit the third video for viewing by viewers; receive a respective response from each viewer identifying a respective fourth segment of the third video deemed relevant to the medical condition or enjoyable; create a fourth video including at least a portion of the respective fourth segments; and store the fourth video for inclusion in a video regarding the medical condition.

Abstract: Disclosed herein is a single-pixel camera system and method for performing spot/area measurement of a localized area of interest identified in a scene and for performing spatial scene reconstruction. A switching module enables a single-pixel camera to alternate between a spot/area measurement mode and a spatial scene reconstruction mode. In the case where the operative mode is switched to spot measurement, a light modulation device is configured to modulate incoming light according to a clustered pattern that is specific to a localized area of interest intended to be measured by integrating across the pixels to generate an integral value. In the case where the operative mode is switched to spatial scene reconstruction, the light modulation device can be configured to modulate incoming light to display a spatial pattern corresponding to a set of predetermined basis functions.

Abstract: What is disclosed is a video-based system and method for estimating heart rate variability from time-series signals generated from video images captured of a subject of interest being monitored for cardiac function. In a manner more fully disclosed herein, low frequency and high frequency components are extracted from a time-series signal obtained by processing a video of the subject being monitored. A ratio of the low and high frequency of the integrated power spectrum within these components is computed. Analysis of the dynamics of this ratio over time is used to estimate heart rate variability. The teachings hereof can be used in a continuous monitoring mode with a relatively high degree of measurement accuracy and find their uses in a variety of diverse applications such as, for instance, emergency rooms, cardiac intensive care units, neonatal intensive care units, and various telemedicine applications.

Abstract: A system and method of localizing vascular patterns by receiving frames from a video camera, identifying and tracking an object within the frames, determining temporal features associated with the object; and localizing vascular patterns from the frames based on the temporal features associated with the object.

Abstract: A system and method to capture an image of an oncoming target vehicle and localize the windshield of the target vehicle. Upon capturing an image, it is then analyzed to detect certain features of the target vehicle. Based on geometrical relationships of the detected features, the area of the image containing the windshield of the vehicle can then be identified and localized for downstream processing.

Abstract: What is disclosed is a system and method for estimating minute ventilation by analyzing distortions in reflections of structured illumination patterns captured in a video of a thoracic region of a subject of interest being monitored for respiratory function. Measurement readings can be acquired in a few seconds under a diverse set of lighting conditions and provide a non-contact approach to patient respiratory function that is particularly useful for infant care in an intensive care unit (ICU), sleep studies, and can aid in the early detection of sudden deterioration of physiological conditions due to detectable changes in chest volume. The systems and methods disclosed herein provide an effective tool for non-contact minute ventilation estimation and respiratory function analysis.

Abstract: A computer-based method for presenting customized medical information, including: storing, in at least one memory element of at least one computer, computer readable instructions; and executing, using at least one processor for the at least one computer, the computer readable instructions to: receive an input identifying a patient; access electronic medical-related records (EMRRs) for the patient; formulate, based on data in the EMRRs, a query requesting information/input from the patient; transmit the query for display on a first graphical user interface (GUI) device; receive, in response to the query, an input providing the information/input; generate a video including at least one video segment related to the information/input; and transmit the video for display on the first GUI device or on a second GUI device.