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Gianfranco Doretto

Gianfranco Doretto, Albany, NY US

Patent application numberDescriptionPublished
20080291272METHOD AND SYSTEM FOR REMOTE ESTIMATION OF MOTION PARAMETERS - 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.11-27-2008
20090015678METHOD AND SYSTEM FOR AUTOMATIC POSE AND TRAJECTORY TRACKING IN VIDEO - 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.01-15-2009
20090034791Image processing for person and object Re-identification - 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.02-05-2009
20090089093SYSTEM AND METHOD TO MANAGE DELIVERY OF HEALTHCARE TO A PATIENT - 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.04-02-2009
20090290753METHOD AND SYSTEM FOR GAZE ESTIMATION - A gaze estimation method and system, the method including capturing a video sequence of images with an image capturing system, designating at least one landmark in a head portion of the captured video sequence, fitting a virtual model of the head portion to the actual head portion in the captured video sequence, and determining the gaze estimation.11-26-2009
20090304230Detecting and tracking targets in images based on estimated target geometry - 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.12-10-2009
20090310862Method and system for crowd segmentation - Aspects of the disclosure provide a method for crowd segmentation that can globally optimize crowd segmentation of an input image based on local information of the input image. The method can include receiving an input image of a site, initializing a plurality of hypothesis based on the input image, dividing the input image into a plurality of patches, calculating an affinity measure of one or more patches to a hypothesis based on a partial response of the patches to a whole body classifier of the hypothesis that includes a combination of weak classifiers, and optimizing assignments of the plurality of patches to the plurality of hypothesis based on the affinity measures of the plurality of patches to the plurality of hypothesis.12-17-2009
20110051999Device and method for detecting targets in images based on user-defined classifiers - A device and method for detecting targets of interest in an image, such as people or objects of a certain type. Targets are detected based on an optimized strong classifier descriptor that can be based on a combination of weak classifier descriptors. The weak classifier descriptors can include a user-defined weak classifier descriptor that is defined by a user to represent a shape or appearance attribute that is characteristic of parts of the target of interest. The strong classifier descriptor can be optimized by selecting a subset of weak classifier descriptors that exhibit improved performance in detecting targets in training images.03-03-2011

Patent applications by Gianfranco Doretto, Albany, NY US

Gianfranco Doretto, Niskayuna, NY US

Patent application numberDescriptionPublished
20110044497SYSTEM, METHOD AND PROGRAM PRODUCT FOR CAMERA-BASED OBJECT ANALYSIS - A system, method and program product for camera-based object analyses including object recognition, object detection, and/or object categorization. An exemplary embodiment of the computerized method for analyzing objects in images obtained from a camera system includes receiving image(s) having pixels from the camera system; calculating a pool of features for each pixel; then deriving either a pool of radial moment of features from the pool of features and a geometric center of the image(s) or a pool of central moments of features from the pool of features; then calculating a normalized descriptor, based on an area of the image(s) and either of the derived pool of moments of features; and then based on the normalized descriptor, a computer then either recognizes, detects, and/or categorizes an object(s) in the image(s).02-24-2011