Intelligent Coastal Surveillance
Automat for
Object Detection
S. Itzikowitz
, S
. Sheraizin
,
Intelligent Video Systems R&D Institute, Computer Science Department,
Academic Studies Division, College of Management
E
-
Mail:
samitz@st.colman.ac.il
,
semion@cs.colman.ac.il
Abstract
A coastal surveillance system
operates
in a predefined area. It is intended
to detect
a
suspicious object that
appears
with
in
this
area.
A
utomatic object detection in
a
coastal surveillance system leads to some
specific
problems
since
a coastal environment
is a random changing background
caused
by water
waves and light
changes
. Moreover
,
there are spatial and temporal changes characterized
by
a
large dynamic range.
The suspicious objects are humans and
surface
vessels/ships
.
H
umans
enter
the
observation area
either
from
the
coastline
or
from the
water (swimm
ers
).
We
have
developed
an
intelligent coastal surveillance automat
,
iCSA
,
based on
a
multistage robust object detection method and
algorithm providing a low false detection
probability. The method takes
into account a multisensor use with either
both
the
luminance and chrominance data or the luminance data only.
Each
stage improves
the
o
bject detection
by
using
a
set of high
ly
informative descriptors.
Certainly,
object
detection in
a
complicated environment requires complicated image data preparation
before
object
detection,
as well as
accumulation of some data analysis
partial results an
d
decoding
of
the multistage object detection results.
The iCSA image data processing method provides the following unique
features:
* Low false detection, recognition and tracking by using the full
automatic multistage image data
processing.
* Work possibility in dark area, wide range of a light change,
intensive water waves, wind and rain.
* Effective detection, recognition and tracking of a person
or persons
entering
the predefined
area from
the
water or
from
the
coastline
,
and various
types of ships.
Experimental Results
Our method, algorithm and SW
were tested
on Korean video clips
with the following
result
:
*
Our
method, algorithm and
softwar
e provide
full automatic detection,
recognition and tracking of any intruder moving
along the
coas
t
line
or
in
the
water
as well as
suspicious movements of
ships and surface
vessels
.
Conclusions
:
*
Our
method, algorithm and SW allow full automatic detection,
recognition and tracking
of
a
person or persons
enter
ing
an
observation
area
from
the
coastline
or from
the
water side, 24/
7.
*
Our
method,
algorithm and SW allow full automatic detection,
recognition and tracking
of a ship
entering
an observation area.
*
Our
method and algorithms can be used as
basic solutions for
an
Intelligent Coastal Surveillance
System Automat
(
iCSA
)
development
,
providing full
automatic object (
person, ship, etc.) detection,
recognition and tracking.
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