Xerox Corporation

Conduent Business Services, LLC

Rakesh Suresh Kulkarni

Wencheng Wu

Howard A Mizes

Eric Michael Gross

Michael C Mongeon

Jinhui Yao

Beilei Xu

Peter Paul

Daniel W Costanza

Jack Gaynor Elliot

Abu Saeed Islam

Graham Stephen Pennington

Hao Wu

Jagadeesh Chandra Bose Rantham Prabhakara

Guangyu Zou

Jennifer Watts-Perotti

Isaiah Lorenzo Simmons, Jr

Madhavi Bangalore Shankara Narayana

Robert P Loce

Lalit Keshav Mestha

Shen-Ge Wang

Sudhendu Rai

Alvaro Enrique Gil

Martin Edward Hoover

Saurabh Prabhat

Alexander J Fioravanti

Ming Yang

Sharath Srinivas

Yasmine Charif

Mu Qiao

Keith Andrew Buddendeck

Tanvi Himanshubhai Shah

A method, non-transitory computer readable medium and apparatus for calculating a by spot occupancy of a parking lot are disclosed. For example, the method includes receiving an indication of a triggering event, sending a query to receive a first image and a second image in response to the triggering event, receiving the first image and the second image, analyzing the first image and the second image to determine a change in an occupancy status of a parking spot within the parking lot and calculating the by spot occupancy of the parking lot based on the change in the occupancy status of the parking spot.

Method and apparatus for calculating parking occupancy

A method and system for providing a feedback based dynamic pricing algorithm with an embedded controller for a HOT (High Occupancy Toll) lane. An input-output transfer function of a vehicle flow with respect to a HOT lane can be obtained utilizing a simulation module. A feedback controller combined with, for example, a Smith predictor can be designed to avoid an unstable behavior due to a time delay in the HOT lane, a price regulation, and a large transient caused by an integral part of the controller due to traffic jams. A driver behavior preference model can be derived based on a relationship between a toll rate and several characteristics of the HOT lane and a general purpose lane. The feedback controller and the behavior preference model can then be implemented to set the toll rate in real-time in order to satisfy a desired performance metric.

Method and system for providing dynamic pricing algorithm with embedded controller for high occupancy toll lanes

A system for recognizing processes performed by a call center agent during a session may receive input data from a screen recording system that includes a video signal representing a plurality of frames from a time-series video recording or video stream of a desktop of a user electronic device. The system processes the video signal to identify one or more frames of interest from the plurality of frames. Each frame of interest includes a change in a layout of the corresponding one or more screens as compared to a preceding frame in the time-series video recording. The system automatically identifies actions performed by the call center agent that represent an interaction that the call center agent had with one or more screens corresponding to the frame of interest. The system generates an event log that includes a timeline depicting a visual representation of the identified actions.

Methods and systems for automatically recognizing actions in a call center environment using video data

A system for recognizing processes performed by a call center agent during a session may collect input data by initiating a screen capture logging thread to capture screen shots of a desktop of the electronic device during a session. The system analyzes the input data to generate one or more events, generates a mid-level event log comprising one or more of the events, and performs action recognition on the mid-level event log to ascertain one or more actions that were performed within the one or more graphical user interfaces by the call center agent during the session.

Methods and systems for automatically recognizing actions in a call center environment using screen capture technology

A method and system for parking occupancy detection comprises collecting video of the parking facility with a video capturing device, counting an occupancy of a parking facility using at least one sensor to establish a sensor occupancy count, classifying each of a plurality of parking spots as occupied or vacant with a classifier according to the classification threshold in order to establish a video occupancy count, determining a difference between the sensor occupancy count and the video occupancy count, and setting the sensor occupancy count to equal the video occupancy count if the difference between the sensor occupancy count and the video occupancy count exceeds a difference threshold.

Automated video based ingress/egress sensor reset for truck stop occupancy detection

A system for recognizing processes performed by a call center agent during a session collects from one or more input devices in communication with the electronic device, input data that includes data pertaining to one or more interactions that a call center agent has with one or more programs running on the electronic device that cause one or more graphical user interfaces to be displayed on a desktop of the electronic device during a session. The system analyzes the input data to generate one or more events and a mid-level event log having one or more of the events, and performs action recognition on the mid-level event log to ascertain one or more actions that were performed within the one or more graphical user interfaces by the call center agent during the session.

A method, system, and apparatus for parking occupancy detection comprises collecting video of a blockface with at least one video recording module, identifying a number of possible parking spaces along the blockface in the collected video, defining, a region of interest for each of the possible parking spaces, detecting a time dependent occupancy of the defined regions of interest for each of the possible parking spaces, and reporting the time dependent occupancy. Drift correction of the recorded video and ground truth comparisons of occupancy determinations may be provided.

Mobile on-street parking occupancy detection

A method, system, and apparatus for video frame alignment comprises collecting video data comprising at least two video frames; extracting a line profile along at least one line profile in each of the at least two video frames; selecting one of the at least two video frames as a reference video frame; segmenting each of the at least one line profiles into a plurality of segmented line profile group segments; aligning the plurality of segmented line profiles with the segmented line profiles in the reference video frame; translating each of the at least two video frames for each of the plurality of corresponding segmented line profile alignments; and removing a camera shift from the at least two video frames according to the translation and alignment of the plurality of segmented line profiles with the plurality of segmented line profile in the reference video frame.

Methods and systems for camera drift correction

What is disclosed is a system and method for detecting febrile seizure using a thermal video camera. In one embodiment, a video is received comprising time-sequential thermal images of a subject. The video is acquired of the subject in real-time using a thermal video system. Each thermal image comprises a plurality of pixels with an intensity value of each pixel corresponding to a temperature. The thermal images are processed to determine an occurrence of a febrile seizure. The processing involves identifying a region of interest in the thermal image and determining a temperature for the region of interest based on values of the pixels isolated in that region of interest. Thereafter, a rate of change of temperatures is obtained for the subject in real-time on a per-frame basis. If the rate of change is determined to have exceeded a pre-defined threshold level, then the subject is having a febrile seizure.

Detecting febrile seizure with a thermal video camera

Methods, systems and processor-readable media for modeling and optimizing multiple ITS (Intelligent Transportation System) strategies utilizing a systematic genetic algorithm. A traffic simulation model can be configured in conjunction with a genetic algorithm based optimization engine for optimizing the transportation models. An origin-destination matrix that minimizes discrepancies between a simulated and an observed link traffic count can be estimated by considering a road network and a traffic count with respect to a region. A driver behavior can then be determined utilizing the origin-destination matrix via calibration so that the simulation model can replicate a freeway traffic flow in the region. An optimal parameter with respect to the ITS strategies can be determined to optimize a set goal with respect to a given constraint. Such an approach meets a level of service (LOS) metric as well as a revenue target under the applied ITS strategies.

Methods, systems and processor-readable media for optimizing intelligent transportation system strategies utilizing systematic genetic algorithms

A method and apparatus for measuring image on paper registration including placing a test sheet of media including a plurality of test pattern marks on a platen of an image sensing device. The platen defines a scan area over which the image sensing device is capable of scanning an image. The image sensing device includes a plurality of calibration marks falling within the scan area. The method further includes operating the scanner to scan the test sheet; determining a scanned position of the calibration marks and a scanned position of the test marks resulting from the scan; comparing the scanned position of the calibration marks with reference position of the calibration marks to determine scanning error; determining an adjusted position of the test marks responsive to the scanning error; and comparing the adjusted test mark positions with predetermined reference positions to measure registration accuracy. An edge guide disposed on the platen assists in aligning the test sheet for scanning.

Method and apparatus for measuring image on paper registration

What is disclosed is a novel method for reducing errors in IOP registration of a digital document system. In one embodiment, a number of digital pages (10, for example) are received in the image path. For each of a process and lateral direction of a first side of each digital image, a total amount of IOP registration error to be corrected is determined. A portion of the total IOP registration error is estimated that is separable error. Each of the estimated separable errors are subtracted from the total IOP registration error to obtain an amount of non-separable error in each respective direction. The non-separable error values are averaged to obtain an error value for each direction per-side. The error values are compensated for in their respective directions per-side by adjustments to the device in an amount which is equal in magnitude and in an opposite direction to the error.

Reducing IOP registration error in a digital document system

This is an alignment system where precise alignment of a reproducible image is obtained with respect to the paper. An imaged paper to be reproduced is placed on a light table having a right angle fitting or marking. The paper is placed on top of the light table and is aligned with this right angle marking. A transparent platen with marked scales is placed over the imaged paper and also aligned with the right angle fitting. The scales are placed over the corners of the image and image corner location readings are taken from the scales. These readings are then entered and fixed into a marking system such as an electrophotographic printer for reproduction of copies from the aligned and fixed original image.

Image alignment procedure

A system and method for dynamically allocating resources in a process. A demand pattern change detection unit, a future demand forecasting unit and a process optimization engine can be employed to constantly adjust resource allocation and assist in maintaining processes in a state of peak performance. An initial resource allocation unit generates an initial resource allocation plan based on past experience with respect to the process. The change detection unit detects a shift in the job demand pattern utilizing a statistical data when a change occurs in process requirements. The future demand generation unit accurately generates future demand data based on current job data and the outlook of future demand. The optimization engine acts as a surrogate process expert and provides recommendations to the process owner regarding potential possible resource allocation policies for new job demand data utilizing a simulation process to predict the result of variable staffing configurations.

System and method for the dynamic allocation of resources

A digital image processing method. The method includes printing a first set of reference marks on one side of a substrate with a first print engine; printing a second set of reference marks on the same side of the substrate as the first set of reference marks with a second print engine; sensing both sets of reference marks on the substrate with an image sensing unit and generating a digital image of the reference marks; performing image analysis on the digital image to obtain an image-to-image distortion map where the image-to-image distortion map is a local measure of difference between the first set of reference marks and the second set of reference marks; and generating a compensated customer image by using the image-to-image distortion map to reduce registration errors when using the first and second print engines.

Growing community of inventors

Webster, NY, United States of America

Rakesh Suresh Kulkarni