T
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L
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elec
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io
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m
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ng
E
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nics
a
nd
Co
ntr
o
l
Vo
l.
24
,
No
.
5
,
Octo
b
er
20
26
,
p
p
.
1
7
2
1
~
1
7
2
7
I
SS
N:
1
6
9
3
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6
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/
T
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L
KOM
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24
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2791
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1721
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C
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p
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n
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Gr
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an
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Vis
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ar
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r
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T
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rticle
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C
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p
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:
Srir
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Mu
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2
3
@
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ed
u
.
i
n
1.
I
NT
RO
D
UCT
I
O
N
C
o
m
p
u
ter
v
is
io
n
,
as
th
e
n
a
m
e
s
tates
(
a
co
m
p
u
ter
’
s
v
is
io
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)
an
al
y
ze
s
i
m
a
g
e
s
an
d
v
id
eo
s
,
an
d
p
r
e
d
icts
th
e
ch
ar
ac
ter
is
tics
o
f
t
h
e
o
b
j
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ts
p
r
esen
t
in
s
id
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th
e
m
u
s
i
n
g
d
if
f
er
en
t
m
ac
h
in
e
lea
r
n
in
g
m
e
th
o
d
s
[
1
]
.
E
g
o
ce
n
tr
ic
v
is
io
n
o
r
th
e
f
ir
s
t
-
p
er
s
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n
v
is
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(
FP
V)
o
r
eg
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v
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io
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co
r
r
esp
o
n
d
s
to
r
ec
o
r
d
i
n
g
a
v
id
eo
w
h
e
n
a
w
ea
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er
w
ea
r
s
th
e
ca
m
er
a
(
ex
a
m
p
le
in
f
r
o
n
t
o
f
th
eir
f
o
r
eh
ea
d
)
.
I
t
h
elp
s
to
s
ee
th
in
g
s
f
r
o
m
h
is
p
er
s
p
ec
ti
v
e.
No
w
-
a
-
d
a
y
s
i
n
cr
ea
s
e
i
n
w
o
r
k
to
w
ar
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s
e
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o
ce
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tr
ic
v
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h
a
s
h
elp
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n
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er
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tan
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g
h
a
n
d
m
o
v
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m
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t,
h
an
d
lo
ca
liz
atio
n
an
d
h
an
d
r
ec
o
g
n
itio
n
[
2
]
,
[
3
]
.
Vid
eo
s
h
av
e
b
ee
n
r
ec
o
r
d
ed
f
o
r
l
o
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g
er
h
o
u
r
s
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y
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h
e
n
tr
av
eler
s
ar
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g
o
in
g
f
o
r
lo
n
g
er
r
id
es.
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h
o
s
e
v
id
eo
s
h
a
v
e
b
ee
n
lab
e
lled
an
d
s
u
m
m
ar
ized
as
e
g
o
ce
n
tr
ic
d
atase
ts
,
w
h
ic
h
ar
e
in
t
u
r
n
k
ep
t
f
o
r
th
e
r
esear
ch
er
s
f
o
r
f
u
r
t
h
er
u
s
e
[
4
]
.
B
ad
m
i
n
to
n
is
o
n
e
o
f
th
e
f
a
m
o
u
s
r
ac
k
et
s
p
o
r
ts
alo
n
g
w
it
h
te
n
n
i
s
a
n
d
s
q
u
a
s
h
.
I
t
i
n
v
o
l
v
es
p
la
y
i
n
g
t
w
o
to
f
o
u
r
p
eo
p
le
o
n
eit
h
er
s
id
e
o
f
t
h
e
co
u
r
t,
w
i
th
i
n
t
h
e
tea
m
o
r
ag
ain
s
t
ea
c
h
o
th
er
.
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h
e
s
h
u
ttle
w
ei
g
h
s
f
r
o
m
4
.
7
5
to
5
.
5
g
r
am
s
[
5
]
w
h
ich
ca
n
tr
av
el
u
p
to
5
6
5
k
m
/
h
[
6
]
.
Gr
i
p
i
s
an
ess
en
tial
p
ar
t
o
f
th
e
g
a
m
e.
I
n
b
ad
m
i
n
to
n
,
th
er
e
ar
e
t
w
o
t
y
p
es
o
f
g
r
ip
s
,
f
o
r
eh
an
d
an
d
b
ac
k
h
an
d
g
r
ip
.
W
h
en
a
s
h
u
ttle
i
s
co
m
i
n
g
to
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ar
d
s
th
e
r
ig
h
t
s
id
e
o
f
th
e
b
o
d
y
,
it
m
u
s
t
b
e
p
la
y
ed
with
t
h
e
f
o
r
eh
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d
g
r
ip
o
r
o
v
er
h
an
d
g
r
ip
.
W
h
en
th
e
s
h
u
tt
le
co
m
es
to
t
h
e
l
e
f
t
s
id
e
o
f
th
e
b
o
d
y
,
it
ca
n
b
e
p
lay
ed
w
it
h
a
b
ac
k
h
a
n
d
g
r
ip
[
7
]
.
I
n
b
ac
k
h
a
n
d
g
r
ip
,
th
e
th
u
m
b
co
m
e
s
clo
s
e
to
th
e
r
ac
k
et
an
d
is
p
lace
d
p
ar
allel
to
t
h
e
f
ac
e
o
f
t
h
e
r
ac
k
e
t,
w
h
er
ea
s
f
o
r
eh
an
d
g
r
ip
i
n
clu
d
es
h
o
ld
i
n
g
t
h
e
r
ac
k
et
w
it
h
t
h
e
p
al
m
li
k
e
a
f
ir
m
h
a
n
d
s
h
ak
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
24
,
No
.
5
,
Octo
b
e
r
20
26
:
1
7
2
1
-
1727
1722
R
ec
en
t
ad
v
a
n
ce
s
in
co
m
p
u
ter
v
is
io
n
h
av
e
en
ab
led
d
etailed
a
n
al
y
s
i
s
o
f
s
p
o
r
ts
p
er
f
o
r
m
a
n
ce
,
in
cl
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d
in
g
p
lay
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m
o
v
e
m
en
t,
g
r
ip
tech
n
i
q
u
es,
an
d
tactica
l
s
tr
ateg
ies.
D
esp
ite
g
r
o
w
i
n
g
in
ter
est
i
n
s
p
o
r
ts
an
al
y
tics
,
li
m
ited
r
esear
ch
h
as
e
x
p
lo
r
ed
t
h
e
u
s
e
o
f
eg
o
ce
n
tr
ic
v
is
io
n
to
an
al
y
ze
b
ad
m
i
n
to
n
h
an
d
-
g
r
ip
tech
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iq
u
e
s
an
d
tactica
l
d
ec
is
io
n
-
m
a
k
i
n
g
.
Dev
ices
s
u
ch
a
s
s
m
ar
t
w
atc
h
e
s
an
d
s
m
ar
t
g
las
s
es
ar
e
a
v
aila
b
le
o
n
a
lar
g
e
s
ca
le
[
8
]
.
‘
W
ea
r
ca
m
’
(
a
n
d
th
e
co
n
ce
p
t
o
f
FP
V
)
w
as
f
i
r
s
t
in
tr
o
d
u
ce
d
in
1
9
9
8
[
9
]
.
C
o
n
s
id
er
in
g
t
h
e
d
e
m
a
n
d
,
Mic
r
o
s
o
f
t
p
r
esen
ted
‘
s
e
n
s
ec
a
m
’
an
d
Go
o
g
le
i
n
tr
o
d
u
ce
d
p
r
o
j
ec
t
g
la
s
s
i
n
to
th
e
m
a
r
k
et
(
2
0
1
2
)
t
o
m
ee
t
t
h
e
co
n
s
u
m
er
n
ee
d
s
[
1
0
]
.
T
h
e
p
o
s
itio
n
o
f
th
e
ca
m
er
a
h
as
b
ee
n
ch
an
g
i
n
g
w
it
h
ti
m
e
to
c
ap
tu
r
e
m
o
r
e
ac
cu
r
ate
an
d
d
y
n
a
m
ic
m
o
v
e
m
e
n
t
s
(
ex
a
m
p
le
: p
laci
n
g
ca
m
er
a
o
v
e
r
th
e
ch
es
t o
r
w
r
is
t
-
’
w
r
i
s
tca
m
’
)
[
1
1
]
.
R
is
e
in
d
e
m
an
d
f
o
r
th
es
e
d
ev
ices e
x
ten
d
ed
th
e
u
s
e
o
f
eg
o
ce
n
tr
ic
v
is
io
n
i
n
to
m
u
lt
ip
le
f
ield
s
.
−
Gr
o
u
p
ac
tiv
it
y
:
eg
o
ce
n
tr
ic
v
id
eo
s
h
av
e
b
ee
n
a
n
al
y
ze
d
to
u
n
d
er
s
ta
n
d
th
e
b
eh
a
v
io
u
r
o
f
a
g
r
o
u
p
.
So
u
s
v
eilla
n
ce
[
1
2
]
,
a
s
y
s
te
m
to
ac
tiv
el
y
m
o
n
i
to
r
g
r
o
u
p
s
o
f
p
eo
p
le
h
elp
f
u
l
in
th
e
lar
g
er
s
u
r
v
eilla
n
ce
n
et
w
o
r
k
s
.
I
b
r
a
h
im
an
d
M
o
r
i
[
1
3
]
w
o
r
k
e
d
o
n
s
t
r
u
c
tu
r
in
g
r
e
l
at
io
n
s
b
etw
e
en
p
e
o
p
l
e
i
n
a
s
c
en
e
.
−
Hu
m
an
ac
ti
v
it
y
r
ec
o
g
n
itio
n
:
r
esea
r
ch
h
as
b
ee
n
ca
r
r
ied
o
u
t
o
n
h
u
m
a
n
ac
tiv
i
t
y
r
ec
o
g
n
itio
n
(
HAR)
in
n
o
n
-
u
n
i
f
o
r
m
en
v
ir
o
n
m
e
n
ts
li
k
e
ter
r
ain
s
a
n
d
m
o
u
n
tai
n
s
,
ca
lib
r
ati
o
n
o
f
m
o
u
n
tai
n
tr
ai
ls
w
i
th
ter
r
ain
tr
a
n
s
it
io
n
s
an
d
f
ati
g
u
e
v
ar
iatio
n
s
b
y
u
s
i
n
g
d
ata
s
eg
m
e
n
tatio
n
an
d
lab
ell
in
g
m
et
h
o
d
s
[
1
4
]
.
−
First
p
er
s
o
n
v
s
th
ir
d
p
er
s
o
n
v
id
eo
s
:
ch
ar
ac
ter
is
tic
an
al
y
s
i
s
o
f
f
ir
s
t
-
p
er
s
o
n
v
id
eo
s
v
er
s
u
s
th
ir
d
p
er
s
o
n
v
id
eo
s
w
as
p
er
f
o
r
m
ed
b
ased
o
n
lo
w
lev
el
f
ea
t
u
r
es
li
k
e
co
l
o
r
an
d
co
n
tr
ast
w
it
h
o
u
t
ad
d
in
g
an
n
o
tatio
n
s
[
1
5
]
.
P
er
s
o
n
al
lo
ca
tio
n
s
w
er
e
p
r
ed
icted
b
y
u
s
in
g
t
h
e
tr
an
s
f
er
lear
n
in
g
a
n
d
en
tr
o
p
y
-
b
ased
r
ej
ec
tio
n
in
th
e
eg
o
ce
n
tr
ic
v
id
eo
s
[
1
6
]
.
−
Su
m
m
ar
izatio
n
a
n
d
s
e
g
m
e
n
ta
tio
n
:
eg
o
ce
n
tr
ic
v
id
eo
s
w
er
e
ex
p
lo
r
ed
o
n
in
d
ex
i
n
g
a
n
d
i
d
en
tify
i
n
g
th
e
lo
ca
tio
n
s
b
ased
o
n
m
e
m
o
r
y
[
1
7
]
,
[
1
8
]
.
Sp
a
r
s
e
g
r
ap
h
s
w
er
e
u
s
ed
to
r
e
p
r
esen
t
th
e
lar
g
e
-
s
c
ale
v
id
eo
d
ata
an
d
s
p
o
tted
it
w
i
th
t
h
e
h
elp
o
f
g
r
ap
h
ical
al
g
o
r
ith
m
s
.
E
g
o
ce
n
t
r
ic
v
id
eo
s
u
m
m
ar
izatio
n
i
s
ex
p
lo
r
ed
[
1
9
]
,
to
p
r
ed
ict
im
p
o
r
tan
t
o
b
j
ec
ts
b
ased
o
n
th
eir
d
is
ta
n
ce
,
g
az
e
an
d
f
r
eq
u
en
c
y
o
f
t
h
eir
o
cc
u
r
r
en
ce
.
Seg
m
en
tatio
n
o
f
lo
n
g
e
g
o
ce
n
tr
ic
v
id
eo
s
w
a
s
d
o
n
e
b
ased
o
n
th
e
w
ea
r
er
’
s
m
o
tio
n
c
u
es
u
s
i
n
g
c
u
m
u
lat
iv
e
d
is
p
lace
m
en
t
cu
r
v
e
s
[
2
0
]
.
E
g
o
ce
n
tr
ic
v
is
io
n
h
elp
ed
in
cr
ea
tin
g
a
d
r
iv
er
as
s
is
ta
n
ce
s
y
s
te
m
w
h
ich
m
o
n
ito
r
s
th
e
d
r
i
v
er
’
s
g
az
e
a
n
d
th
e
n
p
r
ed
icts
w
h
et
h
er
th
e
d
r
iv
er
i
s
lo
o
k
i
n
g
i
n
s
id
e
th
e
s
ce
n
e
o
f
t
h
e
d
r
iv
e
o
r
o
u
ts
id
e.
B
ag
o
f
w
o
r
d
s
h
a
s
b
ee
n
u
s
ed
to
ex
tr
ac
t
th
e
f
ea
t
u
r
es
f
r
o
m
th
e
s
ce
n
e
an
d
th
e
n
v
ec
to
r
class
i
f
icatio
n
u
s
i
n
g
s
u
p
p
o
r
t
v
ec
to
r
m
ac
h
in
e
(
SV
M)
h
as b
e
en
d
o
n
e
[
2
1
]
.
W
ith
th
e
h
elp
o
f
co
m
p
u
ter
v
is
io
n
,
s
p
o
r
ts
h
av
e
ev
o
l
v
ed
in
cr
ea
tin
g
ad
v
an
ce
d
tr
ain
i
n
g
n
et
w
o
r
k
s
,
p
er
s
o
n
al
tr
ain
i
n
g
ass
is
ta
n
t
s
y
s
te
m
s
a
n
d
an
al
y
zi
n
g
p
la
y
er
b
io
m
ec
h
a
n
ic
s
,
w
h
ic
h
r
es
u
lted
in
i
m
p
r
o
v
e
m
e
n
t
o
f
g
a
m
e
f
o
r
th
e
p
la
y
er
s
[
2
2
]
.
Ke
y
m
o
v
e
m
e
n
t
s
in
d
an
ci
n
g
li
k
e
j
u
m
p
i
n
g
an
d
liftin
g
w
it
h
t
h
e
h
elp
o
f
w
ea
r
ab
le
s
en
s
o
r
s
w
er
e
id
e
n
ti
f
ied
f
o
r
b
allet
d
an
ce
r
s
[
2
3
]
.
R
esear
ch
h
as
b
ee
n
ca
r
r
ied
o
u
t
to
id
en
t
if
y
a
n
d
clas
s
i
f
y
t
h
e
ch
an
g
e
o
f
d
ir
ec
tio
n
m
o
v
e
m
e
n
ts
in
te
n
n
is
[
2
4
]
.
Stag
Net
[
2
5
]
w
as
p
r
o
p
o
s
ed
b
ased
o
n
a
r
ec
u
r
r
en
t
n
eu
r
al
n
et
w
o
r
k
(
R
NN)
to
u
n
d
er
s
tan
d
th
e
p
la
y
er
m
o
v
e
m
e
n
t
s
in
g
r
o
u
p
ac
tiv
it
y
.
So
cc
er
N
et
[
2
6
]
is
an
o
t
h
er
n
e
u
r
al
n
et
w
o
r
k
w
h
ic
h
s
u
m
m
ar
izes
h
o
u
r
s
o
f
s
o
cc
er
co
n
te
n
t
w
it
h
s
u
f
f
icie
n
t
an
n
o
tatio
n
s
a
n
d
d
o
es
th
e
tas
k
o
f
ev
e
n
t
s
p
o
ttin
g
in
s
o
cc
er
v
id
eo
s
.
I
n
b
ad
m
i
n
to
n
[
2
7
]
,
a
tr
ain
in
g
s
y
s
te
m
b
ased
o
n
b
o
d
y
s
e
n
s
o
r
n
et
w
o
r
k
s
(
B
SN)
w
a
s
p
r
o
p
o
s
ed
u
s
in
g
t
h
e
h
id
d
en
M
ar
k
o
v
m
o
d
el
(
HM
M)
.
Mu
lt
iv
ar
iate
s
eq
u
en
ci
n
g
p
atter
n
s
w
e
r
e
u
s
ed
to
id
en
tif
y
v
ar
io
u
s
tactic
s
ad
o
p
ted
in
s
p
o
r
ts
lik
e
ten
n
i
s
an
d
b
ad
m
i
n
to
n
[
2
8
]
,
[
2
9
]
.
A
n
al
y
s
i
s
o
f
v
ar
i
o
u
s
s
tr
o
k
es
i
n
tab
le
ten
n
is
ar
e
p
er
f
o
r
m
ed
h
elp
in
g
co
ac
h
es
to
in
cr
ea
s
e
th
eir
p
la
y
er
s
’
p
er
f
o
r
m
a
n
ce
[
3
0
]
.
C
las
s
if
ica
tio
n
o
f
s
p
o
r
ts
ac
tiv
it
y
w
as
d
o
n
e
b
y
attac
h
i
n
g
s
en
s
o
r
s
to
th
e
h
an
d
a
n
d
an
k
le
[
3
1
]
.
A
m
u
lti
s
p
o
r
ts
d
ataset
was
p
r
esen
ted
b
ased
o
n
s
p
atio
-
te
m
p
o
r
al
lo
ca
lized
s
p
o
r
ts
ac
tio
n
s
[
3
2
]
.
I
n
b
ask
e
tb
all,
f
ir
s
t
p
er
s
o
n
b
as
k
etb
all
v
id
eo
s
w
er
e
a
n
al
y
ze
d
f
o
r
p
r
ed
ictin
g
th
e
g
r
o
u
p
tr
aj
ec
to
r
y
[
3
3
]
.
T
h
ey
u
s
ed
a
n
eu
r
al
n
et
w
o
r
k
t
o
p
r
e
d
ict
t
h
e
f
u
tu
r
e
m
o
v
e
m
en
t
o
f
p
lay
er
s
.
T
h
ey
a
n
al
y
ze
d
v
is
u
al
s
e
m
a
n
tic
s
o
f
g
r
o
u
p
m
o
v
e
m
en
t
s
t
h
r
o
u
g
h
t
h
e
w
o
r
k
.
So
m
e
s
t
u
d
ies
[
3
4
]
h
av
e
u
s
ed
s
ec
o
n
d
o
r
d
er
p
o
ly
n
o
m
ial
r
eg
r
e
s
s
io
n
to
ca
lcu
late
th
e
tr
aj
ec
to
r
y
o
f
th
e
p
ath
tr
av
elled
b
y
b
all,
an
d
th
e
y
w
e
n
t
ah
ea
d
an
d
u
s
ed
it
to
p
r
ed
ict
w
h
et
h
er
th
e
lik
eli
h
o
o
d
o
f
b
all
h
itt
in
g
t
h
e
b
ase.
I
n
b
a
d
m
i
n
to
n
,
d
u
r
in
g
wo
m
e
n
’
s
s
i
n
g
les
[
3
5
]
,
a
p
la
y
er
’
s
s
t
y
le
o
f
p
la
y
is
s
tu
d
ied
,
an
d
last
3
s
h
o
ts
w
er
e
p
r
e
d
icted
b
ef
o
r
e
s
co
r
in
g
.
Su
r
p
r
is
in
g
l
y
,
it
ca
m
e
o
u
t
t
h
at
s
h
e
h
a
s
s
co
r
ed
h
er
p
o
in
ts
u
s
i
n
g
a
b
asel
in
e
h
i
g
h
li
f
t
w
i
th
5
6
%
o
f
th
e
r
al
l
y
w
it
h
t
h
e
o
p
p
o
n
en
t.
I
n
o
n
e
o
f
t
h
e
s
t
u
d
ies
[
3
6
]
,
th
e
y
u
s
ed
a
co
n
v
o
lu
tio
n
al
n
e
u
r
al
n
et
w
o
r
k
(
C
NN
)
clas
s
i
f
ier
to
p
r
ed
ict
th
e
p
la
y
er
’
s
s
h
o
t,
a
f
ter
r
ec
o
g
n
iz
in
g
t
h
e
o
b
j
ec
t
u
s
i
n
g
a
lig
h
ter
y
o
u
o
n
l
y
lo
o
k
o
n
ce
v
er
s
io
n
5
(
YO
L
O
-
V5
)
m
o
d
el
an
d
a
d
ee
p
s
o
r
t
f
o
r
tr
ac
k
in
g
t
h
e
o
b
j
ec
t
in
th
e
s
p
o
r
ts
v
id
eo
.
A
p
la
y
er
’
s
n
ex
t
m
o
v
e
m
e
n
t
h
a
s
b
ee
n
p
r
ed
icted
b
ased
o
n
th
e
p
r
ev
io
u
s
s
h
o
t
u
s
in
g
a
g
r
ap
h
-
b
ased
m
o
d
el.
T
h
e
y
co
n
s
tr
u
cted
a
r
elatio
n
b
et
w
ee
n
p
la
y
er
’
s
s
h
o
t
an
d
th
e
n
ex
t
m
o
v
e
u
s
i
n
g
a
d
y
n
a
m
ic
g
r
ap
h
[
3
7
]
.
R
ea
l
-
w
o
r
ld
b
ad
m
i
n
to
n
d
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−
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de
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f
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.
−
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tatio
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an
d
r
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v
alid
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