Face
Recognition in Video Material
Towards
automatic indexing
by image recognition
technology
Our
Laboratories have
been conducting
research into the
automatic indexing
of video content.
In this article,
I will introduce
a recognition system
that detects, recognizes
and tracks people's
faces in video material.
The ability to recognize
face images will
deliver the following
benefits and lead
to improvements
in program production
efficiency.
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Simon
Clippingdale,
Researcher, Human
Science |
I
first came to NHK
STRL from the U.K.
in 1990-91 on a Japanese
government Science
and Technology Agency
(STA) postdoctoral
research fellowship
(I was the first STA
fellow at NHK STRL;
there have been many
more since). After
further research and
teaching in the U.K.,in
1996 I returned to
NHK STRL and began
working on the problem
of automatic face
recognition. The research
environment combines
academic and industrial
flavors, with researchers
encouraged to publish
and present their
work at conferences,
but working toward
the solution of practical
problems to improve
broadcasting technology
and services to the
public. |
|
It will enable a
rapid search of video
material using key
information such as
a performer's name,
the number of people
in a shot, or a person's
movement. This will
increase the efficiency
of the video editing
process.
Sequences will be
located using meaningful
search keys describing
the composition of
the shot, such as
"bust shot of A,"
"conversation involving
B and C," or "D moving
from left to right."
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This technology
will enable video
retrieval from the
massive video archives
which broadcasters
maintain, using key
information such as
the name of an individual
appearing in the video.
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Combined with a
robot camera, it will
make possible the
automatic tracking
and shooting of a
specific subject.
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Presently we are developing
a prototype system in
which facial images are
first entered into the
system database, and then
when faces appear in input
video sequences, their
locations, sizes and angles
are tracked and, if registered,
their identities recognized.
Although research on face
recognition technology
is being pursued worldwide,
there are difficulties
yet to be overcome. These
arise from the image variability
associated with changes
in facial expression,
position, size and angle,
lighting conditions, image
background and motion,
and so on. Our Laboratories
will pursue research into
overcoming these challenges,
aiming for a system with
flexible real-time recognition
capability.
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Image recognition
With a view to applications
in security, video
retrieval and human
interfaces, research
on the automatic recognition
of identity, movement,
expression and so
on is currently popular
worldwide. Various
trials are also under
way on the compilation
of highlights by detection
of specific events
in video, such as
goals in soccer, home
runs in baseball and
smashes in tennis.
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