Xerox Corporation

Conduent Business Services, LLC

The Procter Gamble Company

Wencheng Wu

Edul N Dalal

Robert P Loce

Edgar A Bernal

Thomas F Wade

Beilei Xu

Dennis Lee Venable

Daniel S Hann

Peter Paul

Charles Donahue Rizzolo

Lalit Keshav Mestha

Yao Rong Wang

Orhan Bulan

Michael C Mongeon

Raja Bala

Graham Stephen Pennington

Steven Robert Moore

Adrien Pierre Cote

Rakesh Suresh Kulkarni

Ethan Shen

Hao Wu

Yi-Ting Shen

Riyad Twahir

R Victor Klassen

Alvaro Enrique Gil

Rajinderjeet Singh Minhas

Zhigang Fan

Stuart Alan Schweid

Howard A Mizes

Eric Michael Gross

Matthew Adam Shreve

Vladimir Kozitsky

Martin Edward Hoover

Adrien Pierre Côté

Jinhui Yao

Lee Anne Williams

David Allen Mantell

Aaron Michael Burry

Martin Sidney Maltz

Dale Robert Mashtare

Paul Ronald Austin

Qun Li

Meera Sampath

Nancy Beth Goodman

Jagadeesh Chandra Bose Rantham Prabhakara

Isaiah Lorenzo Simmons, Jr

Jennifer Watts-Perotti

Madhavi Bangalore Shankara Narayana

Reiner Eschbach

Palghat Srinivas Ramesh

John C Handley

Peter John Knausdorf

William J Nowak

Martin Edward Banton

Peter A Crean

Robert Paul Herloski

Ricardo L De Queiroz

Vishal Monga

Robert John Rolleston

Jack Thomas Lestrange

Thyagarajan Balasubramanian

Yeqing Zhang

Saurabh Prabhat

Abu Saeed Islam

Helen HaeKyung Shin

Norman W Zeck

Richard Leighton Howe

D Rene Rasmussen

Jing Wang

Paul Jonathan Matts

Dusan G Lysy

Ann L McCarthy

Ankur Purwar

Xuejin Wen

Yasmine Charif

Himanshu Madhu

Mu Qiao

Julien Bourdaillet

Patrick Harrington

David Martin Todd Jackson

Yu An Sun

Lee Anne S Williams

Arko Barman

Tanvi Himanshubhai Shah

Diana L Delibaltov

Yi Liu

Edual N Dalal

Dan René Rasmussen

Divyanshu Vats

A store profile generation method includes moving a mobile base around a product facility which includes an arrangement of product display units for displaying products. Product labels are associated with the display units. The product labels display product-related data for the displayed products. With an image capture assembly mounted on the mobile base, images are acquired of the product display units at a sequence of locations of the mobile base. With a computer processor, the product-related data is extracted from the acquired images and a store profile is constructed, based on the extracted product-related data, a spatial characterization of the image capture assembly, and information on the locations of the mobile base when the images were acquired, which indicates locations of the product labels throughout the product facility.

Store shelf imaging system

A method for detecting a double-parked vehicle includes identifying a parking region in video data received from an image capture device monitoring the parking region. The method includes defining an enforcement region at least partially surrounding the parking region. The method includes detecting a stationary vehicle in the enforcement region. The method includes determining the occurrence of an event relative to the stationary vehicle. In response to the determined occurrence of the event, the method includes classifying the stationary vehicle as being one of double parked and not double parked.

Video-based system for automated detection of double parking violations

A system for acquiring multi-angle images of a product includes a workstation having a working surface for placing a product, a camera supporting member having a vertical axis, and an image capturing device movably attached to the camera supporting member so that it may move along the vertical axis of the camera supporting member. The system captures and analyzes a digital image of a product to detect the vertical center of the product, and adjusts the position of the image capturing device along the vertical axis so that the vertical center of the product is proximate to the vertical center of the image. The system may also have a turntable and additionally rotate the turntable at multiple capturing angles and capture one or more additional digital images of the product at various capturing angles and store the one or more additional images in a product database.

Method and system for acquiring images of a product from multiple angles

Method and system for acquiring multi-angle images of a product

Multi-angle product imaging device

A method, non-transitory computer readable medium and apparatus for performing a person re-identification using an overhead view image are disclosed. For example, the method includes receiving a plurality of overhead view images, detecting a target person in one or more of the plurality of overhead view images, creating a probe image of the target person, receiving a selection of the probe image containing the target person, selecting one or more of the plurality of processed images that has a similar distortion profile as a distortion profile of the probe image based on a radial distance of the target person from a center of a respective overhead view image of the plurality overhead view images used to generate the probe image and performing the person-re-identification of the target person using the one or more of the plurality of processed images that are selected.

System and method for person re-identification using overhead view images

A system and method for performing vehicle-velocity aware image enhancement. Embodiments generally include a video capture module configured to receive image data of the scene being monitored, an image extraction module configured to extract still images from incoming video data, a vehicle detection module that detects the approximate location of a target vehicle in the scene being monitored, a velocity determination module configured to determine the amplitude and direction of a vector that describes the velocity of the target vehicle in image pixel coordinates, and a velocity-aware enhancing module configured to enhance the image(s) of the target vehicle extracted from the video feed based on the vehicle's velocity. Embodiments may also include an infraction detection module configured to detect the occurrence of a violation of traffic law(s) by a target vehicle.

System and method for enhancing images and video frames

Systems and methods for determining an apparent skin age of a person and providing customized skin care product recommendations. The system utilizes a computing device to mask facial macro features in an image of a person and then analyze the image with a convolutional neural network to determine an apparent skin age of the person. Determining the apparent skin age may include identifying at least one pixel that is indicative of skin age and utilizing the at least one pixel to provide the apparent skin age. The system may be used to determine a target skin age of a person, determine a skin care product or skin care regimen for achieving the target skin age, and provide an option for a user to purchase the product.

Systems and methods for determining apparent skin age

A method and system for real-time video triggering for traffic surveillance and photo enforcement comprises receiving a streaming video feed and performing a spatial uniformity correction on each frame of the streaming video feed and resampling the video feed to a lower spatial resolution. Motion blobs are then detected. Next a three-layered approach is used to identify candidate motion blobs which can be output to a triggering module to trigger a video collection action.

Real-time video triggering for traffic surveillance and photo enforcement applications using near infrared video acquisition

A store profile generation system includes a mobile base and an image capture assembly mounted on the base. The assembly includes at least one image capture device for acquiring images of product display units in a product facility, product labels being associated with the product display units which include product-related data. A control unit acquires the images captured by the at least one image capture device at a sequence of locations of the mobile base in the product facility. The control unit extracts the product-related data from the acquired images and constructs a store profile indicating locations of the product labels throughout the product facility, based on the extracted product-related data. The store profile can be used for generating new product labels for a sale in an appropriate order for a person to match to the appropriate locations in a single pass through the store.

A system for estimating parking occupancy includes a vehicle-detection device including an adjustable mast supporting an image capture device at a select height. The image capture device acquires video of a current parking area. A computer processor in communication with the image capture device is configured to receive the video data and define a region of interest in the video data. The processor is further configured to perform a spatial transform on the ROI to transform the ROI to a normalized geometric space. The processor is further configured to apply features of a detected object in the normalized geometric space to a vehicle classifier&#x2014;previously trained with samples acquired from a normalized camera perspective similar to the normalized geometric space&#x2014;and determine the occupancy of the current parking area using an output of the classifier.

Vision-based on-street parked vehicle detection via normalized-view classifiers and temporal filtering

A store profile generation system includes a mobile base and an image capture assembly mounted on the base. The assembly includes at least one image capture device for acquiring images of product display units in a retail environment. A control unit acquires the images captured by the at least one image capture device at a sequence of locations of the mobile base in the retail environment. The control unit extracts product-related data from the acquired images and generates a store profile indicating locations of products and their associated tags throughout the retail environment, based on the extracted product-related data. The store profile can be used for generating new product labels for a sale in an appropriate order for a person to match to the appropriate locations in a single pass through the store.

Store shelf imaging system and method

Disclosed is a method and system for detecting an interaction event between two or more objects in a surveillance area, via the application of heuristics to trajectory representations of the static or dynamic movements associated with the objects. According to an exemplary embodiment, trajectory interaction features (TIFs) are extracted from the trajectory representations and heuristics are applied to the TIFs to determine if an interaction event has occurred, such as a potential illegal drug deal involving at least one pedestrian and at least one vehicle.

System and method for detecting potential drive-up drug deal activity via trajectory-based analysis

Growing community of inventors

Webster, NY, United States of America

Wencheng Wu