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 device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object.

Abstract: A system and method, the method including stabilizing a video sequence captured by an image capturing system, extracting a subject of interest in the stabilized video sequence to isolate the subject from other objects in the video sequence, determining a trajectory associated with the subject, tracking the trajectory of the subject over a period of time; extracting data associated with the trajectory of the subject based on the tracking; and presenting the extracted data in a user-understandable format.

Abstract: A system and method, the method including calibrating an image capturing system; capturing a video sequence with the image capturing system; detecting a subject of interest in the video sequence; tracking the subject over a period of time; and extracting data associated with a motion of the subject based on the tracking.

Abstract: A device and method for efficient computation of statistical information, such as a mean, co-variance, or histogram of the image pixels, over discrete image regions. The computation employs integral computations to determine the statistical information over image regions of arbitrary shape, including irregular polygonal shaped regions. The integral computations are simplified by categorizing corner points of boundaries of image regions. The computation can be applied to calculate descriptors or signatures of persons or objects within an image. The computation also has a low computational cost enabling fast calculation of image statistics.

Abstract: Embodiments of the invention include a system and a method for determining whether a person is carrying concealed contraband, such as an improvised explosives device or other weapon. The system includes a people tracking video subsystem, a people tracking decisioning subsystem, a concealed contraband detection aiming subsystem, and a concealed contraband detection decisioning subsystem.

Abstract: A method for re-identifying an image is provided. The method comprises obtaining a plurality of images and generating a correspondence map between the plurality of images. The method further comprises defining a plurality of region signatures for one or more regions comprising the plurality of images and comparing the plurality of images based on the correspondence map and the plurality of region signatures to perform image re-identification.