Synthetic Actors - PowerPoint PPT Presentation

1 / 16
About This Presentation
Title:

Synthetic Actors

Description:

Particular area of interest is in live stage performances working within the ... of (predominately open source and cross-platform) components 'glued' together ... – PowerPoint PPT presentation

Number of Views:35
Avg rating:3.0/5.0
Slides: 17
Provided by: tonym55
Category:

less

Transcript and Presenter's Notes

Title: Synthetic Actors


1
Synthetic Actors
2
Synthetic Actors
  • Think Gollum in Lord of the Rings, but without
    Andy Serkis (sorry Andy!).
  • Particular area of interest is in live stage
    performances working within the constraints of
    a script, but adapting the performance as
    necessary.
  • Live theatre is developed via rehearsals - so
    this is how the synthetic actors will develop as
    well.

3
Synthetic Actors
  • Think Gollum in Lord of the Rings, but without
    Andy Serkis (sorry Andy!).
  • Particular area of interest is in live stage
    performances working within the constraints of
    a script, but adapting the performance as
    necessary.
  • Live theatre is developed via rehearsals - so
    this is how the synthetic actors will develop as
    well.

4
Existing Components
  • The current experimental system is made up of a
    number of (predominately open source and
    cross-platform) components 'glued' together
  • Speech generation Microsoft Speech SDK /
    Festival / Festival Light
  • Speech recognition Microsoft Speech SDK /
    Sphinx
  • Graphics output Unreal Tournament with the
    Gamebots mod
  • Vision system primarily routines from Intel's
    OpenCV library
  • Tripod system Lego Mindstorms SDK and Baum's
    NQC
  • Interval engine provides timing information

5
(No Transcript)
6
Improvements to system
  • Performance related particular models,
    movements, vision processing, and so on.
  • Unreal Tournament 2003 rather than Unreal
    Tournament
  • Drop Microsoft Speech SDK, add affect to speech
  • Tools to work within a rehearsal (understanding
    the director, for example)
  • Core ('brain') of the system

7
Research
  • The bulk of my research will be carried out over
    the next 12 months.
  • Essentially, a stage performance that includes
    one or more synthetic actors will be produced
    over a seven month period (with a performance for
    the public at the end).
  • At weekly rehearsals, the synthetic actor will
    try and successfully (in the view of the
    director) improvise the performance (staying
    within the script) so that the performance is
    improved. Various changes will be made to the
    synthetic actor system during the periods between
    rehearsals, and these will then be evaluated.

8
More information
  • If you would like some more substantial
    information about what I'm doing, why I'm doing
    it, and what my plan is, please see
  • http//www.massey.ac.nz/tameyer/research/computer
    theatre
  • This includes papers at varying levels of
    technicality, from newspaper article to research
    proposal.

9
Demonstration
  • Any questions at this point?
  • Before I conclude, I will demonstrate some of the
    existing system's capabilities remember that
    the focus is on the (yet to be created) core, and
    not these parts i.e. they are meant to be
    sufficient, not excellent.

10
(No Transcript)
11
Image Processing
  • Captures video via USB2 from two standard
    webcams can handle about 150 frames per
    second if no processing is done.
  • Hands over this information to a series of
    processing functions currently these include
    motion detection and face detection. This drops
    the framerate to about 5 frames per second!

12
Motion Detection
  • From Intels Open Computer Vision library
  • Uses motion history images basically an image
    that contains a history of recent frames.
  • Generates location(s) of motion, and direction(s).

13
MHI Example
14
Face Detection
  • From Intels Open Computer Vision Library
  • Uses a cascade of boosted haar classifiers in
    other words a series of weak classifiers to
    determine whether a face is present.
  • Can be used to detect other objects, with
    training.

15
Face Detection Examples


16
(No Transcript)
Write a Comment
User Comments (0)
About PowerShow.com