Truman Action Recognition Status update

Slides:



Advertisements
Similar presentations
Face Recognition and Biometric Systems Eigenfaces (2)
Advertisements

Modeling Cross-Episodic Migration of Memory Using Neural Networks by, Adam Britt Definitions: Episodic Memory – Memory of a specific event, combination.
1 Automated Feature Abstraction of the fMRI Signal using Neural Network Clustering Techniques Stefan Niculescu and Tom Mitchell Siemens Medical Solutions,
CEN th Lecture CEN 4021 Software Engineering II Instructor: Masoud Sadjadi Change Control.
Project 2 SIFT Matching by Hierarchical K-means Quantization
WEEK 7 Amari Lewis Aidean Sharghi Amari Lewis Aidean Sharghi.
An Example of Course Project Face Identification.
Appendix B: An Example of Back-propagation algorithm
How computer’s are linked together.
Monitoring Human Behavior in an Office Environment Douglas Ayers and Mubarak Shah * Research Conducted at the University of Central Florida *Now at Harris.
Logan Lebanoff Mentor: Haroon Idrees. Two-layer method  Trying a method that will have two layers of neural networks.
Human pose recognition from depth image MS Research Cambridge.
Module Overview. Aims apply your programming skills to an applied study of Digital Image Processing, Digital Signal Processing and Neural Networks investigate.
Activity 4 Data flow diagram of a school attendance system
WEEK 1-2 ALEJANDRO TORROELLA. CONVERTING AN IMAGE FROM RGB TO HSV AND DISPLAYING THE SEPARATE CHANNELS.
Team Members Ming-Chun Chang Lungisa Matshoba Steven Preston Supervisors Dr James Gain Dr Patrick Marais.
Mentor Prof. Amitabha Mukerjee Deepak Pathak Kaustubh Tapi 10346
CSC 562: Final Project Dave Pizzolo Artificial Neural Networks.
Logan Lebanoff Mentor: Haroon Idrees
HIV Mutation Classifier HIV Mutation Classifier Hannah Bier’s Project Proposal.
Computer Vision Scene Classification Using Neural Nets and a Knowledge Base Daniel Vevang.
Digit Recognition Using SIS Testbed Mengjie Mao. Overview Cycle 1: sequential component AAM training Cycle 2: sequential components Identifier 0 Ten perfect.
Group Number5 Group Members Harsh AroraY08UC059 Mayank AgarwalY08UC079 Vishal BharadwajY08UC141 Automatic Number Plate Recognition.
Height Estimation from Egocentric Video- Week 1 Dr. Ali Borji Aisha Urooj Khan Jessie Finocchiaro UCF CRCV REU 2016.
ANN-based program for Tablet PC character recognition
Mentor: Afshin Dehghan
Ajita Rattani and Reza Derakhshani,
Lecture 5 Smaller Network: CNN
Color-Based Object Identifier Using LVQ
CSc 219 Project Proposal Raymond Fraizer.
Generalization ..
Pearson Lanka (Pvt) Ltd.
Bird-species Recognition Using Convolutional Neural Network
PCC Update 08/26/09 Implementation Phase 1
Video understanding using part based object detection models
XOR problem Input 2 Input 1
Applications of Cellular Neural Networks to Image Understanding
Object Classification through Deconvolutional Neural Networks
Object Classification through Deconvolutional Neural Networks
Face Recognition with Neural Networks
General Concepts About Computer
Week 6 Fatemeh Yazdiananari.
NGN Project Status – SE2 Conversion (6th-8th Jan 2017) 14th Dec 2016
Neil Gealy Outline What I Learned this Week Research Interests
General Concepts About Computer
Deep Neural Networks for Onboard Intelligence
Pattern Recognition & Machine Learning
Object Classification through Deconvolutional Neural Networks
Advanced Artificial Intelligence
Project # 12 – Smart Walker REU student: Christopher Feltner Graduate mentors: Sharare Zethabian and Siavash Khodadadeh Faculty mentor(s): Dr. Turgut.
General Concepts About Computer
Modified at -
Week 1 Emily Hand UNR.
Week 8 Farzain Majeed.
Action Recognition.
CVPR19.
Baseline Model CSV Files Pandas DataFrame Sentence Lists
Multi-UAV Detection and Tracking
Deep screen image crop and enhance
Report 7 Brandon Silva.
Week 3 Volodymyr Bobyr.
Example of training and deployment of deep convolutional neural networks. Example of training and deployment of deep convolutional neural networks. During.
Self-Supervised Cross-View Action Synthesis
Week 7 Presentation Ngoc Ta Aidean Sharghi
THE ASSISTIVE SYSTEM SHIFALI KUMAR BISHWO GURUNG JAMES CHOU
Truman Action Recognition Status update
Deep screen image crop and enhance
Deep screen image crop and enhance
Neural Network Typing Authentication
Presentation transcript:

Truman Action Recognition Status update July 7, 2017

Where am I Requested extra quota for the cluster to store the rgb frames. When I got over 1TB the files got locked up, And I couldn’t modify or create files. Modified the TSN model to accept the frames I had extracted and output one of the 400 classes in the kinetics dataset

Goals for next week Train TSN on kinetics rgb frames Look more into flownet (a neural network (has pretrained weights) for extracting the optical flow from image sequences) Should be much faster than the dense_flow implementation and still be very accurate