Xerox Corporation

Other

The United States of America As Represented by Director, National

Xerox Corporartion

Edul N Dalal

Wencheng Wu

D Rene Rasmussen

Sue E Blaszak

Kristen M Natale-Hoffman

Roger N Ciccarelli

Jacques C Bertrand

Karen Ann Moffat

Lalit Keshav Mestha

Valerie M Farrugia

Daryl Walter Vanbesien

Jordan H Wosnick

Robert P Loce

Raja Bala

Richard P N Veregin

Peter A Crean

Alvaro Enrique Gil

Denise R Bayley

Cuong Vong

Dale Robert Mashtare

Robert J Gruber

Paul C Julien

Thomas R Pickering

Jing Wang

Yi Xin Gong

Barkev Keoshkerian

Beilei Xu

R Victor Klassen

Martin Sidney Maltz

Michelle Chretien

Rabin Moser

John S Berkes

Thyagarajan Balasubramanian

Elliott A Eklund

Norman W Zeck

Robert M Jacobs

Michelle N Chretien

Zhigang Fan

Barry Paul Mandel

Edgar A Bernal

Yao Rong Wang

C Geoffrey Allen

Peter Paul

Grazyna E Kmiecik-Lawrynowicz

Hadi K Mahabadi

Dan A Hays

Bing R Hsieh

Michael E Farrell

Raymond W Wong

John F Knapp

David C Robinson

Orhan Bulan

William J Nowak

Martin Edward Banton

Gaurav Sharma

John Stephen Facci

Enno Eric Agur

Michael John Martin

Richard P Veregin

Robert John Rolleston

Charles Donahue Rizzolo

Yeqing Zhang

Mark Q Shaw

Abu Saeed Islam

Ronald J Koch

Maria Birau

Rajinderjeet Singh Minhas

Richard Leighton Howe

Richard Philip Nelson Veregin

Thomas C Hollar

Meera Sampath

Nancy Beth Goodman

Dusan G Lysy

Susan June Zoltner

Alvin D Kromm, Jr

Ann L McCarthy

Mark Sennett Jackson

Yelena Shapiro

Susan J Kremer

Patrick Harrington

Julien Bourdaillet

Paul C Swanton

Kristen M Natale

Steve P Hoover

Paul W Morehouse

Yu An Sun

Robert L Gruber

Bimal Mishra

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.

Virtual trainer optimizer method and system

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.

Video-based teacher assistance

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.

Method and apparatus for detection of defective brakes

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).

Automatic training of a parked vehicle detector for large deployment

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.

Methods and systems for processing electronic documents

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.

User preferences based on categories of images

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.

Method and system for facilitating retrieval of information from images

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.

Central vision impairment compensation

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.

Traffic camera calibration update utilizing scene analysis

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.

Obtaining user preferences using categories of images

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.

Precipitation removal for vision-based parking management systems

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.

Intelligent use of scene and test pattern analyses for traffic camera diagnostics

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.

Invisible composite security element

A system and method which detects and uses a point of contact between a vehicle's tire and the pavement as a reference point to improve the accuracy of vehicle speed detection in a motorized vehicle speed detection system. In one embodiment, a plurality of infrared images of a moving vehicle are received. Each of the images is separated in time by known intervals. The images are captured using an infrared camera which can be a single-band or multi-band camera which operates in an infrared wavelength band selected to enhance a contrast between the vehicle's tires and the road surface. For each image, a point of contact is determined where a same tire contacts the road surface. These points and the time interval separations are used to calculate the vehicle's speed. An alert signal is initiated to a traffic enforcement authority if the speed exceeds the road's speed limit.

Vehicle speed determination via infrared imaging

When an imaging device receives an image file that includes a color barcode, a processor of the imaging device and/or a remote processor may decode the barcode by identifying informational elements and calibration elements in the barcode. When the calibration elements are detected, one or more color model parameters are determined, and a color model is developed. When an informational element is then detected, a color value is determined for the informational element, the color model is applied using the color model parameters to yield an adjusted color value for the informational element, and the adjusted color value is used to decode the color barcode.

Color matrix code

Growing community of inventors

Webster, NY, United States of America

Edul N Dalal