Researching | Adaptive feature matching network for object occlusion

Optics and Precision Engineering, Volume. 31, Issue 22, 3345(2023)

Adaptive feature matching network for object occlusion

Lin MAO... Hongyang SU* and Dawei YANG |Show fewer author(s)

Author Affiliations

School of Electromechanical Engineering， Dalian Minzu University， Dalian116600， China

show less

Abstract Get PDF(in Chinese)

Figures&Tables (15)

References (27)

Paper Information

Figures & Tables(15)

Fig. 1. Overall network framework

Download full size

View in Article

Fig. 2. Schematic diagram of tracking drift

Download full size

View in Article

Fig. 3. Schematic diagram of feature map splitting

Download full size

View in Article

$Multi-response fractional graph$

Fig. 4. Multi-response fractional graph

Download full size

View in Article

Fig. 5. AFMN block diagram

Download full size

View in Article

Fig. 6. Schematic diagram of feature map vector

Download full size

View in Article

Fig. 7. Calculation of point-product similarity

Download full size

View in Article

Fig. 8. Classification regression network

Download full size

View in Article

Fig. 9. Visual comparison

Download full size

View in Article

Fig. 10. Visualization results in the object occlusion scenario

Download full size

View in Article

Table 1. On the OTB-2015 dataset， AFMN compares to other trackers

View in Article

Table 1. On the OTB-2015 dataset， AFMN compares to other trackers

跟踪器	Success	Precision	跟踪器	Success	Precision
AFMN	0.715	0.928	ToMP-50^［16］	0.701	-
STMTrack^［14］	0.719	0.934	MixFormer-1k^［9］	0.696	0.911
SBT large^［8］	0.719	0.924	SiamRPN++^［5］	0.696	0.914
SAOT^［17］	0.714	0.926	KYS^［18］	0.695	-
SiamAttn^［19］	0.712	0.926	Ocean^［20］	0.684	0.899
UPDT^［21］	0.702	0.919	SiamFC++^［15］	0.683	-

Table 2. AFMN compares to other trackers on VOT2018 dataset

View in Article

Table 2. AFMN compares to other trackers on VOT2018 dataset

跟踪器	$E A O ↑$	$A ↑$	$R ↓$
AFMN	0.452	0.593	0.156
STMTrack^［14］	0.447	0.590	0.159
D3S^［7］	0.489	0.640	0.150
Ocean^［20］	0.489	0.592	0.117
SiamAttn^［19］	0.470	0.630	0.160
KYS^［18］	0.462	0.609	0.143
SiamBAN^［22］	0.452	0.597	0.178
PrDiMP-50^［23］	0.442	0.618	0.165
DiMP-50^［24］	0.440	0.597	0.153
Siam R-CNN^［25］	0.408	0.609	0.220
SiamFC++^［15］	0.426	0.587	0.183
SiamRPN++^［5］	0.414	0.600	0.234

Table 3. AFMN compares to other trackers on GOT-10k and LaSOT dataset

View in Article

Table 3. AFMN compares to other trackers on GOT-10k and LaSOT dataset

跟踪器	GOT-10k			LaSOT
跟踪器	$A O ↑$	$S R_{0.5} ↑$	$S R_{0.75} ↑$	$A U C ↑$	$P_{N o r m} ↑$	$P ↑$
AFMN	0.660	0.761	0.594	0.608	0.696	0.636
STMTrack^［14］	0.642	0.737	0.575	0.606	0.693	0.633
MixFormer-1k^［9］	0.732	0.832	0.702	0.679	0.773	0.739
STARK^［26］	0.688	0.781	0.641	0.671	0.770	-
SBT large^［8］	0.704	0.808	0.647	0.667	-	0.717
TrDiMP^［23］	0.671	0.777	0.583	0.639	-	0.614
AutoMatch^［27］	0.652	0.766	0.543	0.582	-	0.599
SAOT^［17］	0.640	0.759	-	0.616	0.708	-
Siam R-CNN^［25］	0.649	0.728	0.597	0.648	0.722	-
Ocean^［20］	0.611	0.721	0.473	0.560	0.651	0.566
D3S^［7］	0.597	0.676	0.462	-	-	-
SiamFC++^［15］	0.595	0.695	0.479	0.544	0.623	0.547
SiamRPN++^［5］	0.517	0.616	0.325	0.496	0.569	0.491

Table 4. 对的影响
View table
View in Article
Table 4. 对的影响
$h$ 数量 $A O$ $S R_{0.5}$ $S R_{0.75}$
1 0.642 0.737 0.575
2 0.656 0.755 0.586
3 0.660 0.761 0.594
4 0.649 0.746 0.577
5 0.642 0.740 0.570
8 0.639 0.737 0.561

Table 5. 对的影响
View table
View in Article
Table 5. 对的影响
$T$ 数量 $A O$ $S R_{0.5}$ $S R_{0.75}$
1 0.598 0.638 0.437
2 0.645 0.743 0.573
3 0.660 0.761 0.594
4 0.634 0.728 0.567
5 0.628 0.728 0.548
6 0.638 0.738 0.566

Tools

Get Citation

Copy Citation Text

Lin MAO, Hongyang SU, Dawei YANG. Adaptive feature matching network for object occlusion[J]. Optics and Precision Engineering, 2023, 31(22): 3345

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category:

Received: Apr. 26, 2023

Accepted: --

Published Online: Dec. 29, 2023

The Author Email: SU Hongyang (wxhxhwdn0725@163.com)

DOI:10.37188/OPE.20233122.3345

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology