Search

Juwei Lu Phones & Addresses

  • Irvine, CA
  • Palo Alto, CA
  • Cupertino, CA
  • San Jose, CA
  • Santa Clara, CA
  • Sunnyvale, CA

Work

Company: Canon usa innovation center Sep 2011 Position: Senior scientist

Education

School / High School: University of North Carolina Sep 2012 Specialities: MANAGEMENT

Resumes

Resumes

Juwei Lu Photo 1

Juwei Lu Irvine, CA

View page
Work:
Canon USA Innovation Center

Sep 2011 to 2000
Senior Scientist

Donnelly Center for Cellular and Biomolecular Research
Toronto, ON
Apr 2011 to Aug 2011
PostDoc Researcher

Video Analytics
Sunnyvale, CA
Feb 2007 to Nov 2010
Computer Vision Scientist

Video Analytics

2009 to 2010
Principal researcher in the project

EPSON Edge
Toronto, ON
Jan 2005 to Jan 2007
Senior Software Developer

Bell Canada Multimedia Lab, Communications Group, the Edward S
Toronto, ON
Apr 2004 to Dec 2004
PostDoc Researcher

Electrical and Computer Engineering, University
Toronto, ON
Jan 2001 to Apr 2004
Teaching Assistant

Image
Singapore
Jul 1999 to Jan 2001
Research Engineer

Education:
University of North Carolina
Sep 2012
MANAGEMENT

University of Toronto
Toronto, ON
Jun 2004
PhD in Electrical and Computer Engineering

Nanyang Technological University
Singapore
1999
Master of Engineering

Nanjing University of Aero. and Astro.
1994 to 1997
Bachelor of Electronic Engineering

University of Toronto
Toronto, ON
Electrical and Computer Engineering

Chinese Academy of Sciences
Research

Publications

Us Patents

Active And Adaptive Intelligent Video Surveillance System

View page
US Patent:
8649594, Feb 11, 2014
Filed:
Jun 3, 2010
Appl. No.:
12/802265
Inventors:
Wei Hua - Palo Alto CA, US
Juwei Lu - San Jose CA, US
Jinman Kang - San Jose CA, US
Jon Cook - Los Gatos CA, US
Haisong Gu - Cupertino CA, US
Assignee:
Agilence, Inc. - Mount Laurel NJ
International Classification:
G06K 9/62
US Classification:
382159, 348143, 348159, 382155, 382190, 706 14
Abstract:
A method for assessing events detected by a surveillance system includes assessing the likelihood that the events correspond to events being monitored from feedback in response to a condition set by a user. Classifiers are created for the events from the feedback. The classifiers are applied to allow the surveillance system improve its accuracy when processing new video data.

Method Of And System For Hierarchical Human/Crowd Behavior Detection

View page
US Patent:
20090222388, Sep 3, 2009
Filed:
Nov 17, 2008
Appl. No.:
12/313193
Inventors:
Wei Hua - Cupertino CA, US
Xiangrong Chen - Fremont CA, US
Ryan Crabb - Los Gatos CA, US
Jonathan Cook - Los Gatos CA, US
Juwei Lu - San Jose CA, US
International Classification:
G06N 3/08
G06K 9/00
G06N 5/02
G06F 15/18
G06F 17/00
US Classification:
706 12, 382103, 706 47, 700 94, 706 59, 706 25
Abstract:
The present invention is directed to a computer automated method of selectively identifying a user specified behavior of a crowd. The method comprises receiving video data but can also include audio data and sensor data. The video data contains images a crowd. The video data is processed to extract hierarchical human and crowd features. The detected crowd features are processed to detect a selectable crowd behavior. The selected crowd behavior detected is specified by a configurable behavior rule. Human detection is provided by a hybrid human detector algorithm which can include Adaboost or convolutional neural network. Crowd features are detected using textual analysis techniques. The configurable crowd behavior for detection can be defined by crowd behavioral language.

Systems And Methods For Topic-Specific Video Presentation

View page
US Patent:
20130279881, Oct 24, 2013
Filed:
Apr 19, 2012
Appl. No.:
13/451436
Inventors:
Juwei Lu - Irvine CA, US
Bradley Denney - Irvine CA, US
Assignee:
CANON KABUSHIKI KAISHA - Tokyo
International Classification:
H04N 9/80
US Classification:
386241, 386E09011
Abstract:
Systems and methods for summarizing a video assign frames in a video to at least one of two or more groups based on a topic, generate a respective first similitude measurement for the frames in a group relative to the other frames in the group based on a feature, rank the frames in a group relative to one or more other frames in the group based on the respective first similitude measurement of the respective frames, and select a frame from each group as a most-representative frame based on the respective rank of the frames in a group relative to the other frames in the group.

Systems And Methods For Creating A Semantic-Driven Visual Vocabulary

View page
US Patent:
20140015855, Jan 16, 2014
Filed:
Jul 16, 2012
Appl. No.:
13/550357
Inventors:
Bradley Scott Denney - Irvine CA, US
Juwei Lu - Irvine CA, US
Dariusz T. Dusberger - Irvine CA, US
Sholeh Forouzan - Irvine CA, US
Assignee:
CANON KABUSHIKI KAISHA - Tokyo
International Classification:
G09G 5/00
US Classification:
345629
Abstract:
Systems and methods for clustering descriptors in a space of visual descriptors to generate augmented visual descriptors in an augmented space that includes semantic information, wherein the augmented space of the augmented descriptors includes both visual descriptor-to-descriptor dissimilarities and semantic label-to-label dissimilarities; and cluster the augmented visual descriptors in the augmented space based at least in part on a dissimilarity measure between augmented visual descriptors in the augmented descriptor space.

Systems And Methods For Creating A Visual Vocabulary

View page
US Patent:
20140056511, Feb 27, 2014
Filed:
Aug 22, 2012
Appl. No.:
13/592148
Inventors:
Juwei Lu - Irvine CA, US
Bradley Scott Denney - Irvine CA, US
Assignee:
CANON KABUSHIKI KAISHA - Tokyo
International Classification:
G06K 9/62
US Classification:
382159, 382225
Abstract:
Systems and methods for generating a visual vocabulary build a plurality of visual words via unsupervised learning on set of features of a given type; decompose one or more visual words to a collection of lower-dimensional buckets; generate labeled image representations based on the collection of lower dimensional buckets and labeled images, wherein labels associated with an image are associated with a respective representation of the image; and iteratively select a sub-collection of buckets from the collection of lower-dimensional buckets based on the labeled image representations, wherein bucket selection during any iteration after an initial iteration is based at least in part on feedback from previously selected buckets.

Systems And Methods For Feature Fusion

View page
US Patent:
20140267301, Sep 18, 2014
Filed:
Mar 14, 2013
Appl. No.:
13/829338
Inventors:
- Tokyo, JP
Bradley Scott Denney - Irvine CA, US
Juwei Lu - Irvine CA, US
Dariusz Dusberger - Irvine CA, US
Hung Khei Huang - Irvine CA, US
Assignee:
CANON KABUSHIKI KAISHA - Tokyo
International Classification:
G09G 5/24
US Classification:
345467
Abstract:
Systems and methods for generating visual words define initial inter-visual word relationships between a plurality of visual words; define visual word-image relationships between the plurality of visual words and a plurality of images; define inter-image relationships between the plurality of images; generate revised inter-visual word relationships in a vector space based on the initial inter-visual word relationships, the inter-image relationships, and the visual word-image relationships; and generate higher-level visual words in the vector space based on the revised inter-visual word relationships.

Systems And Methods For Generating A High-Level Visual Vocabulary

View page
US Patent:
20140272822, Sep 18, 2014
Filed:
Mar 14, 2013
Appl. No.:
13/830247
Inventors:
- Tokyo, JP
Bradley Scott Denney - Irvine CA, US
Juwei Lu - Irvine CA, US
Dariusz Dusberger - Irvine CA, US
Hung Khei Huang - Irvine CA, US
Assignee:
CANON KABUSHIKI KAISHA - Tokyo
International Classification:
G09B 5/02
US Classification:
434167
Abstract:
Systems and methods for learning a high-level visual vocabulary generate inter-visual-word relationships between a plurality of visual words based on visual word-label relationships, map the visual words to a vector space based on the inter-visual word relationships, and generate high-level visual words in the vector space.

Systems And Methods For Image Management

View page
US Patent:
20140093174, Apr 3, 2014
Filed:
Sep 28, 2012
Appl. No.:
13/629948
Inventors:
- Tokyo, JP
Bradley Scott Denney - Irvine CA, US
Juwei Lu - Irvine CA, US
International Classification:
G06K 9/46
US Classification:
382190
Abstract:
Systems and methods for organizing images extract low-level features from an image of a collection of images of a specified event, wherein the low-level features include visual characteristics calculated from the image pixel data, and wherein the specified event includes two or more sub-events; extract a high-level feature from the image, wherein the high-level feature includes characteristics calculated at least in part from one or more of the low-level features; identify a sub-events in the image based on the high-level feature and a predetermined model of the specified event, wherein the predetermined model describes a relationship between two or more sub-events; and annotate the image based on the identified sub-event.
Juwei Lu from Irvine, CA Get Report