Journals
Advanced Photonics
Photonics Insights
Advanced Photonics Nexus
Photonics Research
Advanced Imaging
View All Journals
Chinese Optics Letters
High Power Laser Science and Engineering
Articles
Optics
Physics
Geography
View All Subjects
Conferences
CIOP
HPLSE
AP
View All Events
News
About CLP
Search by keywords or author
Login
Registration
Login in
Registration
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
metasurface
laser
polarization
nir
lithium niobate
optical coherence tomography
Journals >
Laser & Optoelectronics Progress >
Volume 58 >
Issue 4 >
Page 0415004-1 > Article
Laser & Optoelectronics Progress
Vol. 58, Issue 4, 0415004-1 (2021)
Multimodel Integrated Siamese Network Visual Tracking
Manqiang Che
*
, Shubin Li, and Jinpeng Ge
Author Affiliations
Unmanned Systems Technology Innovation Center, Guangzhou Haige Communications Group Incorporated Company, Guangzhou, Guangdong 510700, China
show less
DOI:
10.3788/LOP202158.0415004
Cite this Article
Set citation alerts
Manqiang Che, Shubin Li, Jinpeng Ge. Multimodel Integrated Siamese Network Visual Tracking[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0415004-1
Copy Citation Text
EndNote(RIS)
BibTex
Plain Text
show less
Fig. 1.
Overall framework of the proposed algorithm
Download full size
Fig. 2.
Distance precision and success rate of the algorithms on LaSOT dataset. (a) Precision; (b) success rate
Download full size
Fig. 3.
Distance precision and success rate of the algorithms on OTB100 dataset. (a) Precision; (b) success rate
Download full size
Fig. 4.
Distance precision and success rate of the algorithms on UAV123 dataset. (a) Precision; (b) success rate
Download full size
DiMP50
Mask
Multi-scale search area
Contextual feature
Multi-learning rate
EAO
Number of failures
Accuracy
√
0.379
13.583
0.574
√
√
0.386
13.245
0.596
√
√
√
0.404
12.336
0.603
√
√
√
√
0.407
12.570
0.603
√
√
√
√
√
0.414
11.245
0.605
Table 1.
Tracking results of proposed algorithm after adding various strategies
Parameter
SiamMask
DaSiam-RPN
LADCF
ATOM
SiamRPN++
DiMP18
DiMP50
Ours_Res18
Ours_Res50
EAO
0.380
0.383
0.389
0.401
0.414
0.402
0.440
0.410
0.451
Robustness
0.276
0.155
0.159
0.204
0.234
0.182
0.153
0.176
0.160
Accuracy
0.609
0.507
0.503
0.590
0.600
0.594
0.597
0.597
0.608
Table 2.
Comparison results of different algorithms on VOT2018 dataset
Parameter
SiamMask
cola
ATOM
DRNet
trackyou
DiMP50
ATP
Ours_Res18
Ours_Res50
EAO
0.287
0.371
0.292
0.395
0.395
0.379
0.394
0.350
0.414
Robustness
0.405
0.277
0.361
0.229
0.237
0.243
0.255
0.277
0.208
Accuracy
0.575
0.589
0.582
0.580
0.586
0.574
0.619
0.603
0.605
Table 3.
Comparison results of different algorithms on VOT2019 dataset
Abstract
Get PDF(in Chinese)
Figures&Tables (7)
Equations (0)
References (33)
Get Citation
Copy Citation Text
Manqiang Che, Shubin Li, Jinpeng Ge. Multimodel Integrated Siamese Network Visual Tracking[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0415004-1
Download Citation
EndNote(RIS)
BibTex
Plain Text
Set citation alerts for the article
Tools
Share
Set citation alerts for the article
Save the article for my favorites
Paper Information
Category: Machine Vision
Received: Jul. 28, 2020
Accepted: Aug. 12, 2020
Published Online: Mar. 19, 2021
The Author Email: Che Manqiang (1229462669@qq.com)
DOI:
10.3788/LOP202158.0415004
Recommended Topics
laser devices and laser physics
Lasers and Laser Optics
Laser physics
laser manufacturing
Instrumentation, Measurement and Metrology
Set citation alerts for the article
Please enter your email address
Cancel
Confirm