Abstract: A method, an apparatus and an article of manufacture for generating a cardiovascular measurement for individual identification. The method includes acquiring at least one depiction of cardiac anatomy from an individual, extracting at least one quantified representation of cardiac anatomy from the at least one depiction, defining at least one comparison technique between the at least one quantified representation of cardiac anatomy and at least one additional quantified representation of cardiac anatomy, and identifying the individual based on the at least one defined comparison technique.

Abstract: A method, an apparatus and an article of manufacture for generating a cardiovascular measurement for individual identification. The method includes acquiring at least one depiction of cardiac anatomy from an individual, extracting at least one quantified representation of cardiac anatomy from the at least one depiction, defining at least one comparison technique between the at least one quantified representation of cardiac anatomy and at least one additional quantified representation of cardiac anatomy, and identifying the individual based on the at least one defined comparison technique.

Abstract: A method, information processing system, and computer program storage product annotate video images associated with an environmental situation based on detected actions of a human interacting with the environmental situation. A set of real-time video images are received that are captured by at least one video camera associated with an environment presenting one or more environmental situations to a human. One or more user actions made by the human that is associated with the set of real-time video images with respect to the environmental situation are monitored. A determination is made, based on the monitoring, that the human driver has one of performed and failed to perform at least one action associated with one or more images of the set of real-time video images. The one or more images of the set of real-time video images are annotated with a set of annotations.

Abstract: A method, information processing system, and computer program storage product annotate video images associated with an environmental situation based on detected actions of a human interacting with the environmental situation. A set of real-time video images are received that are captured by at least one video camera associated with an environment presenting one or more environmental situations to a human. One or more user actions made by the human that is associated with the set of real-time video images with respect to the environmental situation are monitored. A determination is made, based on the monitoring, that the human driver has one of performed and failed to perform at least one action associated with one or more images of the set of real-time video images. The one or more images of the set of real-time video images are annotated with a set of annotations.

Abstract: A method, information processing system, and computer program storage product annotate video images associated with an environmental situation based on detected actions of a human interacting with the environmental situation. A set of real-time video images are received that are captured by at least one video camera associated with an environment presenting one or more environmental situations to a human. One or more user actions made by the human that is associated with the set of real-time video images with respect to the environmental situation are monitored. A determination is made, based on the monitoring, that the human driver has one of performed and failed to perform at least one action associated with one or more images of the set of real-time video images. The one or more images of the set of real-time video images are annotated with a set of annotations.

Abstract: A method and information processing system train a control system using structured differential learning. A set of features extracted from a set of input data is analyzed by a plurality of analyzing components. An output response is generated by each analyzing component in the plurality of analyzing components for each feature regarding whether the each feature has an acceptable value associated therewith relative to a value of the parameter associated with the each analyzing component. A confidence score is associated with the each output response. Each output response and each confidence score is combined into a single final output response and single final confidence score. An analyzing component is identified from the plurality of analyzing components that is a strongest candidate for generating an incorrect final output response based at least on the confidence score.

Abstract: A business method for using computer image processing for selectable task-based digital video compression is described. The method is intended to reduce travel of experts and let these experts direct field agents in performing tasks remotely. The tasks to be performed in the remote field can be monitoring, manipulating, and navigating. A field agent performs the manipulation and navigation operations, this agent can be a human being or a robot. The task-based compression algorithms use computer vision techniques to extract the bare minimum amount of information from the remote field scenery to allow the task to be performed. High frame rate photo-realistic reconstruction of the remote scene is not generally necessary.

Abstract: A method and information processing system train a control system using structured differential learning. A set of features extracted from a set of input data is analyzed by a plurality of analyzing components. An output response is generated by each analyzing component in the plurality of analyzing components for each feature regarding whether the each feature has an acceptable value associated therewith relative to a value of the parameter associated with the each analyzing component. A confidence score is associated with the each output response. Each output response and each confidence score is combined into a single final output response and single final confidence score. An analyzing component is identified from the plurality of analyzing components that is a strongest candidate for generating an incorrect final output response based at least on the confidence score.

Abstract: A method, information processing system, and computer program storage product annotate video images associated with an environmental situation based on detected actions of a human interacting with the environmental situation. A set of real-time video images are received that are captured by at least one video camera associated with an environment presenting one or more environmental situations to a human. One or more user actions made by the human that is associated with the set of real-time video images with respect to the environmental situation are monitored. A determination is made, based on the monitoring, that the human driver has one of performed and failed to perform at least one action associated with one or more images of the set of real-time video images. The one or more images of the set of real-time video images are annotated with a set of annotations.

Abstract: The invention provides a method, system, and program product for identifying an individual using biometric data based on the individual's brain. In one embodiment, the invention includes constructing a biometric signature based on at least one of: features within a two-dimensional scan of the individual's brain and a difference in features between at least two two-dimensional scans of the individual's brain.

Abstract: The invention provides a method, system, and program product for transforming a multi-dimensional biometric feature point set. More particularly, the invention provides a method for transforming a biometric image using surface folding of the image. In one embodiment, the invention provides a method for transforming a multi-dimensional biometric feature point set, the method comprising: converting the multi-dimensional biometric feature point set to a canonical position and orientation; applying a non-invertible transform function to each of a plurality of points of the biometric feature point set; and providing a transformed biometric feature point set comprising a plurality of transformed points.

Abstract: The system and method obscures descriptive image information about one or more images. The system comprises a selector for selecting the descriptive image information from one or more of the images, a transformer that transforms the descriptive information into a transformed state, and an authorizer that provides authorization criteria with the image. In a preferred embodiment, the transformed state is the respective image encoded with the descriptive information. The descriptive information can be obscured so that the descriptive information in the transformed state can be decoded only if one or more authorization inputs satisfy the authorization criteria.

Abstract: Methods and apparatus are provided for maintaining a background image model in a background subtraction system using accumulated motion. A background image model is maintained by obtaining a map of accumulated motion; and adjusting the background image model based on the map of accumulated motion. The map of accumulated motion may be obtained, for example, based on one or more of motion field images; stability maps; frame differences; or information from a background subtraction system. Objects can be added to or removed from the background model or the background model can be otherwise updated. One or more pixels from an image are added to the background image model if a stability measure for the one or more pixels satisfies a predefined criteria. A portion of the background image model can be invalidated in regions where the map of accumulated motion exceeds a predefined threshold.

Abstract: A system and method for using computer image processing for selectable task-based digital video compression is described. The system is intended to reduce travel of experts and let these experts direct field agents in performing tasks remotely. The tasks to be performed in the remote field can be monitoring, manipulating, and navigating. A field agent performs the manipulation and navigation operations, this agent can be a human being or a robot. The task-based compression algorithms use computer vision techniques to extract the bare minimum amount of information from the remote field scenery to allow the task to be performed. High frame rate photo-realistic reconstruction of the remote scene is not generally necessary.

Abstract: Methods and apparatus are provided for visual background subtraction using one or more preprocessing modules. One or more effects are detected in a received image signal and one or more blocks are selectively enabled to preprocess the image signal to compensate for the detected one or more effects. Visual analysis is then performed on the preprocessed signal using background subtraction. A spatially-variant temporal smoothing of the image signal is also disclosed. The spatially-variant temporal smoothing can be achieved by the mixing of a new intensity value with a previous intensity time-average as determined by a weighting matrix. The mixing can be influenced by a dynamic bias term that is a real-time estimate of a variance at the pixel, such as a degree of change, and the weighting can be determined by a relative stability of an observed value compared to a stability of the time-average.

Abstract: Systems and methods for detecting visual objects by employing multiple cues include statistically combining information from multiple sources into a saliency map, wherein the information may include color, texture and/or motion in an image where an object is to be detected or background determined. The statistically combined information is thresholded to make decisions with respect to foreground/background pixels.

Abstract: There is provided an apparatus, method, and program storage device for representing biometrics. The apparatus includes a biometric feature extractor and a transformer. The biometric feature extractor is for extracting features corresponding to a biometric depicted in an image, and for defining one or more sets of one or more geometric shapes by one or more of the features. Each of the one or more geometric shapes has one or more geometric features that is invariant with respect to a first set of transforms applied to at least a portion of the image. The transformer is for applying the first set of transforms to the at least a portion of the image to obtain one or more feature representations that include one or more of the one or more geometric features, and for applying a second set of transforms to the one or more feature representations to obtain one or more transformed feature representations.

Abstract: A system and method for generating a viewable video index for low bandwidth applications are provided. The exemplary aspects of the present invention solve the problems with the prior art systems by incorporating information for generating a viewable representation of the video data into the index, thus generating a viewable video index. The viewable video index contains information for generating a visual representation of moving objects in the video data, a visual representation of the background of the video capture area, i.e. the scene, a representation of the object trajectory, a representation of the object attributes, and a representation of detected events. The result is that the viewable video index may be transmitted to a low bandwidth application on a client device and may be used along with associated object and background models to generate a representation of the actual video data without requiring that the original video data itself be streamed to the client device.

Abstract: A system and method to estimate the absolute coarse pose of a rigid body, and more specifically of an individual's head as captured by overhead wide-angle cameras, by integrating position and pose information. Position information ideally includes three-dimensional position information provided by range finders or derived from images captured by multiple cameras. The three-dimensional position information can additionally be employed to determine the anchored viewing ray for the object.

Abstract: An apparatus for imaging the mouth of a user while detecting the speech of the user. The apparatus includes a headset. A video camera mounted to the headset is positioned so as to capture a frontal view of the mouth of a user. A microphone mounted to the headset is positioned so as to detect the speech of the user. An illumination source illuminates the mouth of the user. A communication device transmits the output of the video camera and the output of the microphone to a computer.