Introduction - If you have any usage issues, please Google them yourself
it is of important practical value to
track moving objects in the fields of industrial process control，medical research，imaging guidance，etc．At present most research in this field are often based on static background，while those based on moving background
ale rather less．A complete algorithm
of object tracking in the moving background
was
proposed．Firstly，the
background
of
sequence images
were
registered by
using
the mutual
information．Secondly，a
differential method
was
used to detect
moving object in combination
with
image segmentation technology
to
get
the
object template．Object
tracking
was based on Kalman filter and the
object matching
was still based on the mutual information
theory．The experiments
show that
object tracking
is
rapid，accurate
and robust
by using
this
algorithm．
Computational efficiency
and
accuracy
of this new
tracking algorithm
is SO
high，and
its
application
prospect
will be broad．