Prepared By: Menna Hamza Mohamed Mohamed Hesham Fadl Mona Abdel Mageed El-Koussy Yasmine Shaker Abdel Hameed Supervised By: Dr. Magda Fayek.

Slides:



Advertisements
Similar presentations
Team:. Prepared By: Menna Hamza Mohamed Mohamed Hesham Fadl Mona Abdel Mageed El-Koussy Yasmine Shaker Abdel Hameed Supervised By: Dr. Magda Fayek.
Advertisements

Virtual Me. Motion Capture Human Motion Capture Different Fields Goals.
Virtual Me. Motion Capture The process of recording movement and translating that movement onto a digital model Originally used for military tracking.
Motion Capture The process of recording movement and translating that movement onto a digital model Games Fast Animation Movies Bio Medical Analysis VR.
Virtual Me. Motion Capture (mocap) Motion capture is the process of simulating actual movement in a computer generated environment The capture subject.
Prepared By: Menna Hamza Mohamed Mohamed Hesham Fadl Mona Abdel Mageed El-Koussy Yasmine Shaker Abdel Hameed Supervised By: Dr. Magda Fayek.
Speech and Gesture Corpus From Designing to Piloting Gheida Shahrour Supervised by Prof. Martin Russell Dr Neil Cooke Electronic, Electrical and Computer.
Haptic Glove Hardware Graduation Project Prepared by Yaman A. Salman Eman M. Masarweh 2012.
Digital Interactive Entertainment Dr. Yangsheng Wang Professor of Institute of Automation Chinese Academy of Sciences
Computer Graphics Computer Animation& lighting Faculty of Physical and Basic Education Computer Science Dep Lecturer: 16 Azhee W. MD.
Page 1 SIXTH SENSE TECHNOLOGY Presented by: KIRTI AGGARWAL 2K7-MRCE-CS-035.
Generation of Virtual Image from Multiple View Point Image Database Haruki Kawanaka, Nobuaki Sado and Yuji Iwahori Nagoya Institute of Technology, Japan.
Vision Based Control Motion Matt Baker Kevin VanDyke.
Department of Electrical and Computer Engineering He Zhou Hui Zheng William Mai Xiang Guo Advisor: Professor Patrick Kelly ASLLENGE.
Move With Me S.W Graduation Project An Najah National University Engineering Faculty Computer Engineering Department Supervisor : Dr. Raed Al-Qadi Ghada.
Motion Capture CS294-7 Jacqueline Takeshita Mindy Lue.
Presented By Motion Capture Group: Azadeh Jamalian Ata Naemi Sa'ed Abu-Alhaija Sunghoon Ivan Lee SensIT Technology.
Virtual reality interfaces in connection with building process simulations. Prof. Nash Dawood Centre for Construction Innovation Research University of.
Virtual Reality. What is virtual reality? a way to visualise, manipulate, and interact with a virtual environment visualise the computer generates visual,
i Sight1 April 1998 i Sight2 Objective u Present i Sight Company. u Present i Sight Technologies. u Description of technologies. u Status of each technology.
Cindy Song Sharena Paripatyadar. Use vision for HCI Determine steps necessary to incorporate vision in HCI applications Examine concerns & implications.
Highlights Lecture on the image part (10) Automatic Perception 16
Tracking Gökhan Tekkaya Gürkan Vural Can Eroğul. Outline Tracking –Overview –Head Tracking –Eye Tracking –Finger/Hand Tracking Demos.
A Vision-Based System that Detects the Act of Smoking a Cigarette Xiaoran Zheng, University of Nevada-Reno, Dept. of Computer Science Dr. Mubarak Shah,
Computer-Based Animation. ● To animate something – to bring it to life ● Animation covers all changes that have visual effects – Positon (motion dynamic)
Animation Theory.
Optical Motion Capture Bobby Bruckart Ben Heipp James Martin Molly Shelestak.
Animation is mainly used to produce cartoons, however, it is also used to produce special effects in commercials, live-action movies, video games, and.
RIGS & MOTION CAPTURE By: Jennifer Marcial and Juan m. lopez A presentation on animation film-making, and how it works.
Motion Capture CSE 3541 Matt Boggus.
Computer Animation Rick Parent Computer Animation Algorithms and Techniques Motion Capture.
Electronic Visualization Laboratory University of Illinois at Chicago Interaction between Real and Virtual Humans: Playing Checkers R. Torre, S. Balcisoy.
“S ixth Sense is a wearable gestural interface device that augments the physical world with digital information and lets people use natural hand gestures.
INPUT DEVICES. KEYBOARD Most common input device for a computer.
(CONTROLLER-FREE GAMING
MASKS © 2004 Invitation to 3D vision Lecture 3 Image Primitives andCorrespondence.
Motion Capture Hardware
SUBMITTED TO SUBMITTED BY Lect. Sapna Gambhir Neha MNW-888-2k11 CN.
1 Lecture 19: Motion Capture. 2 Techniques Morphing Motion Capture.
Presentation by: K.G.P.Srikanth. CONTENTS  Introduction  Components  Working  Applications.
Submitted by:- Vinay kr. Gupta Computer Sci. & Engg. 4 th year.
Application in Computer Vision Final Project Nir Slakman, Oren Zur and Noam Ben-Ari.
DIEGO AGUIRRE COMPUTER VISION INTRODUCTION 1. QUESTION What is Computer Vision? 2.
CS332 Visual Processing Department of Computer Science Wellesley College Analysis of Motion Measuring image motion.
New Human Machine Interfaces for Games Narrated by Michael Song Digiwinner Limited Aug
HCI 입문 Graphics Korea University HCI System 2005 년 2 학기 김 창 헌.
Rick Parent - CIS681 Motion Analysis – Human Figure Processing video to extract information of objects Motion tracking Pose reconstruction Motion and subject.
Tracking Systems in VR.
Rick Parent - CIS681 Motion Capture Use digitized motion to animate a character.
Spring 2007 COMP TUI 1 Computer Vision for Tangible User Interfaces.
CONTENT FOCUS FOCUS INTRODUCTION INTRODUCTION COMPONENTS COMPONENTS TYPES OF GESTURES TYPES OF GESTURES ADVANTAGES ADVANTAGES CHALLENGES CHALLENGES REFERENCE.
Presented by : P L N GANESH CH DURGA PRASAD M RAVI TEJA 08551A A A0446.
-BY SAMPATH SAGAR( ) ABHISHEK ANAND( )
Product: Microsoft Kinect Team I Alex Styborski Brandon Sayre Brandon Rouhier Section 2B.
Multimedia. A medium (plural media) is something that a presenter can use for presentation of information Two basic ways to present information are: –Unimedium.
Basic Theory of Motion Capture By: Vincent Verner.
Fundamentals of Computer Animation Motion Synthesis.
SixthSense Technology Visit to download
Contents Introduction Requirements Design Technology Working Interaction.
E8: Digital Humans Option E AHL: Human Factors Design IB Technology.
Computer Animation Rick Parent Computer Animation Algorithms and Techniques Motion Capture.
Motion Capture CSE 3541 Matt Boggus.
Hand Gestures Based Applications
An Overview on the Artificial Eye (Using MEMS Technology)
Xbox Kinect (Microsoft)
CAPTURING OF MOVEMENT DURING MUSIC PERFORMANCE
SIXTH SENSE TECHNOLOGY
Towards lifelike Computer Interfaces that learn
3D User Interface Input Hardware
Presentation transcript:

Prepared By: Menna Hamza Mohamed Mohamed Hesham Fadl Mona Abdel Mageed El-Koussy Yasmine Shaker Abdel Hameed Supervised By: Dr. Magda Fayek

Motion Capture Tracking Techniques Market Survey Virtual Me High Level Design Time Plan Tools

The process of translating human motion to a digital model Games Fast Animation Movies Bio Medical Analysis VR

Facial tracking Full body tracking Hand tracking Partial body tracking

Exoskeleton, joints connected to angular encoder Pros: No interference, No occlusion Real time Large capture range Cons: Freedom of movement is limited Mechanical failures

Magnetic sensors and a constant magnetic field generator Pros: No optical occlusion Sensor orientation is directly given Cons: External interference Small capture range Wiring and batteries

Using markers (reflective or emitting) Uses light intensity to determine marker position Pros: Free movement Capture range Cons: Optical occlusion Extensive pre-processing and post-processing Controlled lighting condition

Using computer vision Detect Humans in the picture Uses techniques to extract motion information from the image Silhouette detection Joint detection

4:24 impulse cams 20:100 impulse active LEDs Price: $29, to $123, Features: Full body motion tracking (including fingers using gloves)

Accelerometer, optical sensors Gaming system Price: $199 Limitations: Can only track the motion of the hand Only useable with the Wii

Web Cam Price: Cam: $34.99 Play station 3: $ Features: Recognizes hand and body movements Limitations: Officially works only with Sony PS3 Low resolution 640x480

A frame work for human motion capture Color based markers Arbitrary number of cams Detect major limbs motion and orientation Hopefully real time

Virtual Goal A simple game will be used as a demonstration The player will defend his goal from multiple balls Limited translation motion

Camera Interface/ Frame Sampler Image Processing Component Marker Detector Capture Rate Adjustment New Capture Rate History Current Capture Rate Constraint Model Video Feed Marker Tracking Component

1 Marker Tracking Component 2 Marker Tracking Component k Merging Component Pose Constructor Application Interpolator

FebFebMarchMarchAprilAprilMayMayJuneJuneJulyJuly Research & Design Basic Components Implementation MidtermsMidterms Initial Integration Adv. Components Implementation Final Integration Final Exams Testing& Optimization

Research& Design Basic Components Implementation MidtermsMidterms Initial Integration Advanced Components Implementation Final Integration Final Exams FebFeb MarchMarchAprilAprilMayMayJuneJuneJulyJuly

Language C++ Tools Microsoft Visual Studio 2008 Open CV 2.0