Abstract: This disclosure provides an augmented Virtual Trainer (VT) method and system. According to an exemplary system, a video based physiological metric system is integrated with a VT system to provide health and/or safety related data associated with a user of the VT system. According to an exemplary embodiment, the disclosed augmented VT system modifies an exercise routine based on the physiological metrics and/or provides audio signals to the user.

Abstract: A video-based teaching aid system and method. Video images are recorded of at least some of a plurality of people in a classroom setting by use of a video camera arrangement. Expressions of the people in the video images are identified by use of an expression recognition module configured to receive the video images from the video camera arrangement. The identified expressions of the people in the video images are correlated with at least one of an event or an outcome of an event occurring in a classroom setting by use of a correlation module. The results of the correlating are outputted by an output device.

Abstract: A method, non-transitory computer readable medium, and apparatus for detecting defective brakes are disclosed. For example, the method detects that a wheel of a vehicle is in a position to be read by an infrared (IR) thermometer, signals the IR thermometer to take a temperature measurement of a brake of the wheel, receives the temperature measurement of the brake and determines that a defective brake condition exists when the temperature measurement of the brake is outside a temperature range.

Abstract: Methods and systems for training a parked vehicle detector. Video data regarding one or more parking sites can be captured. Positive training samples can then be collected from the video data based on a combination of one or more automated computing methods and human-input auxiliary information. Additionally, negative training samples can be collected from the video data based on automated image analyses with respect to the captured video data. The positive training samples and the negative training samples can then be used to train, re-train or update one or more parked vehicle detectors with respect to the parking site(s) for use in managing parking at the parking site(s).

Abstract: A method for evaluation of one or more remote workers is disclosed. The method includes sending a set of tasks. The set of tasks includes a first subset of tasks and a second subset of tasks. The first subset of tasks is generated with a set of predetermined responses. The method further includes receiving a first subset of responses corresponding to the first subset of tasks from the one or more remote workers. The first subset of responses is then compared with the set of predetermined responses, and the one or more remote workers are analyzed based on the comparison.

Abstract: A method, a system, and a computer program product for processing a plurality of electronic documents are provided. The method includes marking at least one area in an electronic document selected from the plurality of electronic documents. The marked at least one area is then matched with corresponding area in the remaining electronic documents of the plurality of electronic documents. A score is computed for each of the remaining electronic documents of the plurality of electronic documents based on the matching. The plurality of electronic documents is then grouped into one or more groups based on the score.

Abstract: Methods and systems receive an image-processing request relating to user images from a user. Such methods and systems classify the user images into user-request image-element categories. Such methods and systems also retrieve previously stored user-specific preferences for the user-request image-element categories from a computer storage, when the previously stored user-specific preferences for the user-request image-element categories are maintained in the computer storage. However, when the previously stored user-specific preferences for the user-request image-element categories are not maintained in (are absent from) the computer storage, such methods and systems obtain additional user-specific preferences for the user-request image-element categories. Such methods and systems can then processes the image-processing request by altering renditions of the user images according to the previously stored user-specific preferences and/or the additional user-specific preferences.

Abstract: Disclosed embodiments relate to systems and methods for facilitating retrieval of information from an image. The one or more image characteristics are modified to degrade the original image. The degraded image is provided as a first task to at least one first remote worker, the first task corresponds to an activity of tagging one or more regions of interest in the degraded image by the at least one first remote worker. Further, one or more second images are generated based on the one or more tagged regions of interest and are provided as one or more second tasks to at least one second remote worker, the one or more second tasks correspond to an activity of retrieving information from the one or more second images.

Abstract: This disclosure provides an augmented Virtual Trainer (VT) method and system. According to an exemplary system, a video based physiological metric system is integrated with a VT system to provide health and/or safety related data associated with a user of the VT system. According to an exemplary embodiment, the disclosed augmented VT system modifies an exercise routine based on the physiological metrics and/or provides audio signals to the user.

Abstract: Disclosed is a hybrid personal training method and system according to an exemplary embodiment of the system, a personal trainer or physical therapist works remotely or locally with clients in conjunction with an automated self-learning/self-assessing system for supervising the progress of the clients in the absence of the trainer.

Abstract: Methods and systems are disclosed for updating camera geometric calibration utilizing scene analysis. Geometric calibration parameters can be derived with respect to one or more cameras and selected reference points of interest identified from a scene acquired by one or more of such cameras. The camera geometric calibration parameters can be applied to image coordinates of the selected reference points of interest to provide real-world coordinates at a time of initial calibration of the camera(s). A subset of a video stream from the camera(s) can then be analyzed to identify features of a current scene captured by the camera(s) that match the selected reference points of interest and provide a current update of the camera geometric calibration parameters with respect to the current scene.

Abstract: A method, system, and processor-readable medium for non-invasive visual compensation for a person suffering from central vision impairment. Digital images of a target field of view can he obtained and processed to generate processed images thereof, wherein central regions of the digital images that normally would reach an impaired portion of a retina of the person are moved to other regions of the target field of view. The processed images can be presented to the person such that the central regions are now directed at an unimpaired peripheral portion of the retina of the person.

Abstract: Methods and systems present, to a user, different versions of sample images. Each of the sample images is classified into at least one image-element category of multiple image-element categories. Such methods and systems request the user to select preferred versions of the sample images from the different versions of the sample images, and receive in response a user selection of preferred images. The methods and systems determine user-specific preferences for each of the image-element categories based on the user selection of the preferred images. The methods and systems receive an image-processing request relating to user images from the user, and classify the user images into the image-element categories. When processing the image-processing request, the methods and systems alter renditions of the user images according to the user-specific preferences for each image-element category.

Abstract: Methods and systems receive a series of images and compare at least two of the images in the series of images to locate items that are in different positions to identify moving items. Such methods and systems further calculate a measure of the moving items within the series of images. Additionally, such methods and systems perform a continuously variable image correction to remove the moving items from the images to produce a series of corrected images. This “continuously variable image correction” increases the amount of image correction for a relatively higher measure of the moving items and decreases the amount of image correction for a relatively lower measure of the moving items, and does so continuously as the measure of the moving items changes within the series of images.

Abstract: Methods and systems for training a parked vehicle detector. Video data regarding one or more parking sites can be captured. Positive training samples can then be collected from the video data based on a combination of one or more automated computing methods and human-input auxiliary information. Additionally, negative training samples can be collected from the video data based on automated image analyses with respect to the captured video data. The positive training samples and the negative training samples can then be used to train, re-train or update one or more parked vehicle detectors with respect to the parking site(s) for use in managing parking at the parking site(s).

Abstract: A method for determining a response to misalignment of a camera monitoring a desired area includes acquiring temporal related frames from the camera including a reference frame. A pixel location is determined of a reference object from the frames. Using the pixel location of the reference object, a displacement of the camera between a current frame and the reference frame is determined. For the displacement exceeding a first threshold, a new displacement of the camera is measured by introducing at least one additional object to a camera field of view and comparing the new displacement to a second threshold. For the new displacement not exceeding the second threshold, the camera is recalibrated using a determined pixel location and a physical location of the at least one additional object. For the new displacement exceeding the second threshold, notification is provided of a misalignment to an associated user device.

Abstract: A time based parking management method, system and processor-readable media. A video-based parking occupancy detection unit can operate in association with an image-assisted parking kiosk to provide an automatic parking-time monitoring element. An image with respect to a vehicle parked onsite (e.g., parking lot, street side parking, etc.) can be captured via an image-capturing unit associated with the video-based parking occupancy detection unit and/or the image-assisted parking kiosk. The vehicle can be identified based on input provided to a GUI associated with the parking kiosk with said image displayed to initiate a parking session. A parking fee can be calculated based on the actual time parked and payment can be made by at least one payment mode after said parking session terminates.

Abstract: A method, non-transitory computer readable medium, and apparatus for detecting defective brakes are disclosed. For example, the method detects that a wheel of a vehicle is in a position to be read by an infrared (IR) thermometer, signals the IR thermometer to take a temperature measurement of a brake of the wheel, receives the temperature measurement of the brake and determines that a defective brake condition exists when the temperature measurement of the brake is outside a temperature range.

Abstract: Disclosed is a composite security element and a method for applying the same to a substrate (e.g., paper). The composite security element has a first pattern mark and a second pattern mark. The first pattern mark is marked in first (active) marking material (e.g., ink) and the second pattern mark is marked in second (passive) marking material. When exposed to light or radiation at wavelengths in the visible spectrum, the first and second pattern marks are indistinguishable from one another (to a naked human eye). When exposed to radiation at least some wavelengths outside of the visible spectrum, the first and second pattern marks are distinguishable from one another (e.g., first pattern reacts to non-visible light). The first pattern mark may be a security mark or symbol, for example. The marking materials may be colorless. Both first and second pattern marks are also associated with similar gloss.

Abstract: What is disclosed is a system and method for performing a medical diagnosis for a subject of interest using a RGB video camera and a spot radiometer in a non-contact, remote sensing environment. In one embodiment, video images are captured using a RGB video camera in real-time of a subject of interest for medical diagnostic purposes. The video images are analyzed to identify a region of exposed skin for which measurements are desired to be obtained. A relative position of a spot radiometer is then adjusted such that the spot radiometer can measure incident radiation at a desired wavelength range from the identified region of exposed skin. The measurements are then used to perform a medical diagnosis for the subject. Various embodiments are disclosed.