1 Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, Shaanxi 710129, China
2 School of Science, Guilin University of Technology, Guilin, Guangxi 541004, China
Fig. 4. Tracking results of proposed algorithm with different parameter settings. (a) Precision plot obtained at OPE mode; (b) success plot obtained at OPE mode
Fig. 5. Tracking results of different algorithms on 100 video sequences. (a) Precision plot obtained at OPE mode; (b) success plot obtained at OPE mode; (c) precision plot obtained at SRE mode; (d) success plot obtained at SRE mode; (e) precision plot obtained at TRE mode; (f) success plot obtained at TRE mode
Table 1. Precision plot values correspond to different algorithms which are used to test sets of video sequences with different attributes at OPE mode%
Tracker
IV
SV
OCC
DEF
MB
FM
IPR
OPR
OV
BC
LR
Proposed
56.58
52.48
53.56
50.54
58.67
54.44
52.20
51.79
49.84
55.09
49.82
fDSST
56.78
51.08
48.36
46.77
56.30
55.49
55.00
50.17
45.76
58.58
44.61
DSST
56.11
48.59
46.10
43.43
49.20
47.10
51.00
48.28
38.48
52.40
38.94
SWCF
55.29
48.08
46.70
43.43
48.35
44.83
49.98
47.18
37.88
51.01
36.82
CN
41.55
35.94
39.63
39.61
37.85
37.76
45.49
42.10
35.08
43.88
29.45
CFLB
29.63
32.84
31.30
31.49
34.69
34.28
35.20
31.66
27.58
31.96
35.64
CSK
36.85
32.39
33.13
33.70
31.39
32.63
38.05
35.39
24.96
41.00
26.33
KCF
47.92
39.86
44.30
43.62
45.56
44.84
47.22
45.12
39.33
49.77
30.69
Table 2. Success plot values correspond to different algorithms which are used to test sets of video sequences with different attributes at OPE mode%
Tracker
Score on precision plot /%
Score on success plot /%
Average speed /(frame·s-1)
Proposed (NDR & NHU)
64.01
52.16
37.6
Proposed (NHU)
66.22
54.40
88.1
Proposed
68.61
56.81
122.3
Table 3. Performance evaluation of proposed algorithm in different stages at OPE mode
Tracker
Proposed
fDSST
DSST
SWCF
CN
CFLB
CSK
KCF
Average speed /(frame·s-1)
122.3
102.2
42.6
22.0
239.3
190.1
523.1
291.1
Table 4. Average tracking speed of different algorithms
Sequence
Attributes
Frame
Object size /(pixel)
Tiger1
IV, OCC, DEF, MB, FM, IPR, OPR
354
84×67
DragonBoy
SV, OCC, MB, FM, IPR, OPR, OV
113
65×56
Bird2
OCC, DEF, FM, IPR, OPR
99
73×69
Board
SV, MB, FM, OPR, OV, BC
698
173×198
Panda
SV, OCC, DEF, IPR, OPR, OV, LR
1000
23×28
Jogging-1
OCC, DEF, OPR
307
101×25
Girl2
SV, OCC, DEF, MB, OPR
1500
171×44
Human6
SV, OCC, DEF, FM, OPR, OV
792
55×18
Table 5. Attributes and relevant information of eight video sequences