Abstract:
An apparatus and method, as may be used for predicting solar irradiance variation, are provided. The apparatus may include a solar irradiance predictor processor (10) configured to process a sequence of images (e.g., sky images). The irradiance predictor processor may include a cloud classifier module (18) configured to classify respective pixels of an image of a cloud to indicate a solar irradiance-passing characteristic of at least a portion of the cloud. A cloud motion predictor (22) may be configured to predict motion of the cloud over a time horizon. An event predictor (24) may be configured to predict over the time horizon occurrence of a solar obscuration event. The prediction of the solar obscuration event may be based on the predicted motion of the cloud. The event predictor may include an irradiance variation prediction for the obscuration event based on the solar irradiance-passing characteristic of the cloud.
Abstract:
An apparatus and method, as may be used for predicting solar irradiance variation, are provided. The apparatus may include a solar irradiance predictor processor (10) configured to process a sequence of images (e.g., sky images). The irradiance predictor processor may include a cloud classifier module (18) configured to classify respective pixels of an image of a cloud to indicate a solar irradiance-passing characteristic of at least a portion of the cloud. A cloud motion predictor (22) may be configured to predict motion of the cloud over a time horizon. An event predictor (24) may be configured to predict over the time horizon occurrence of a solar obscuration event. The prediction of the solar obscuration event may be based on the predicted motion of the cloud. The event predictor may include an irradiance variation prediction for the obscuration event based on the solar irradiance-passing characteristic of the cloud.
Abstract:
Systems and methods are disclosed for emotive healthcare software usability. A method to improve software usability is described, the method comprising presenting a software application to a user. The method also including logging activities of the user with respect to the software application, wherein the logging includes recording the user using the software application, and wherein the activities include user action with respect to the software application and mouse location on a user interface displaying the software application. The method also including interpreting user emotion from the recording, and tracking an emotive index based on a combination of user emotion and user action with respect to the software application and mouse location. The method also including providing feedback based on the emotive index.
Abstract:
A method of producing an enhanced Active Appearance Model (AAM) by combining images of multiple resolutions is described herein. The method generally includes processing a plurality of images each having image landmarks and each image having an original resolution level. The images are down-sampled into multiple scales of reduced resolution levels. The AAM is trained for each image at each reduced resolution level, thereby creating a multi-resolution AAM. An enhancement technique is then used to refine the image landmarks for training the AAM at the original resolution level. The landmarks for training the AAM at each level of reduced resolution is obtained by scaling the landmarks used at the original resolution level by a ratio in accordance with the multiple scales.
Abstract:
A method for calibrating a projective camera is provided. The method includes acquiring information by detecting at least one object on a substantially flat ground plane within a field of view. A projective camera calibration is performed. A measurement uncertainty is considered to yield a plurality of camera parameters from the projective camera calibration.
Abstract:
A system, method and apparatus for performing a facial approximation is described. The system includes an acquisition subsystem and a facial approximation algorithm. The method includes the steps of acquiring models of known skulls and a model of a questioned skull, comparing the models of the known skulls with the model of the questioned skull, and removing variation in the facial structure of the questioned skull due to skeletal variation between the known skulls and the questioned skull. The apparatus includes a bony structure software component, a bony structure warping software component, and a soft tissue software component.
Abstract:
Surveillance systems and methods having both a radio frequency component and a video image are provided. The radio frequency component can determine the orientation and position of an RFID tag within a surveillance area. The orientation of the RFID tag is can be determined with respect to two or more orthogonal planes using inductance and a predetermined number of mutually orthogonal antenna loops.
Abstract:
A system and method to manage delivery of healthcare via a plurality of resources to a patient is provided. The system and method track and output a signal representative of a location of at least one of a series of resources relative to a control volume associated with the patient, acquire at least one signal representative of detecting ingress or egress of at least one of the plurality of resources relative to the control volume; and output a first signal representative of one of a series of milestones as defined in a predetermined protocol in response to detecting ingress or egress of at least one of the resources relative to the control volume.
Abstract:
A system for detecting and tracking targets captured in images, such as people and object targets that are captured in video images from a surveillance network. Targets can be detected by an efficient, geometry-driven approach that determines likely target configuration of the foreground imagery based on estimated geometric information of possible targets. The detected targets can be tracked using a centralized tracking system.
Abstract:
A crowd segmentation system and method is described. The system includes a digital video capturing subsystem and a computing subsystem. The computing subsystem utilizes an emergent labeling technique to segment a crowd into individuals. The emergent labeling technique employs algorithms which can be used iteratively to place vertices associated with feature points in a captured digital video image into multiple cliques and, ultimately, in a single clique.