Template Update Mechanism for Single Target Tracking Incorporating Memory Information

Yuwen Mao; Baozhen Ge; Jianing Quan; Qibo Chen

doi:10.3788/LOP231552

Laser & Optoelectronics Progress, Volume. 61, Issue 8, 0837006(2024)

Template Update Mechanism for Single Target Tracking Incorporating Memory Information

Yuwen Mao^1,2, Baozhen Ge^1,2、*, Jianing Quan^1,2, and Qibo Chen^1,2

Author Affiliations

¹School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300073, China

²Key Laboratory of Opto-Electronics Information Technology, Ministry of Education, Tianjin University, Tianjin 300073, China

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Figures & Tables(11)

Fig. 1. Tracking algorithm based on Siamese architecture

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Fig. 2. Tracking algorithm with the template UM

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Fig. 3. Structure of MFM

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Fig. 4. Probability of response map and the tracking result. (a) Probability of response map; (b) tracking result

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Fig. 5. Structure of WFM

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Fig. 6. Visualization results of different video sequences for the VOT2019 dataset. (a1)‒(a4) Original images of girl; (b1)‒(b4) tracking results of girl; (c1)‒(c4) local zoomed images of girl's tracking results; (d1)‒(d4) original images of gymnastics1; (e1)‒(e4) tracking results of gymnastics1; (f1)‒(f4) local zoomed images of gymnastics1's tracking results; (g1)‒(g4) original images of tiger; (h1)‒(h4) tracking results of tiger; (i1)‒(i4) local zoom images of tiger's tracking results; (j1)‒(j4) original images of nature; (k1)‒(k4) tracking results of nature; (l1)‒(l4) local zoomed images of nature's tracking results

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Table 1. Effects of parameter $μ$ on tracking performance

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Table 1. Effects of parameter $μ$ on tracking performance

Index	$μ$ =0.65	$μ$ =0.70	$μ$ =0.75	$μ$ =0.80	$μ$ =0.85	$μ$ =0.90
EAO ↑	0.292	0.303	0.304	0.300	0.299	0.297
Accuracy ↑	0.578	0.593	0.592	0.588	0.589	0.580
Robustness ↓	0.474	0.461	0.456	0.455	0.462	0.469
Speed /（frame/s）↑	31	32	32	32	32	32

Table 2. Effects of parameter $ω$ on tracking performance

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Table 2. Effects of parameter $ω$ on tracking performance

Index	$ω$ =0.75	$ω$ =0.80	$ω$ =0.85	$ω$ =0.90	$ω$ =0.95	$ω$ =1.00
EAO ↑	0.295	0.297	0.302	0.304	0.300	0.295
Accuracy ↑	0.580	0.588	0.591	0.592	0.586	0.589
Robustness ↓	0.462	0.462	0.460	0.456	0.460	0.466
Speed /（frame/s）↑	32	32	32	32	32	33

Table 3. Results of ablation experiments with 3 benchmark algorithms

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Table 3. Results of ablation experiments with 3 benchmark algorithms

Tracking algorithm	EAO ↑	Accuracy ↑	Robustness ↓	Speed /（frame/s）↑
SiamRPN	0.247	0.566	0.592	160
SiamRPN-UM	0.257	0.572	0.572	145
SiamRPN++	0.285	0.591	0.482	35
SiamRPN++-UM	0.304	0.592	0.456	32
RBO	0.263	0.600	0.502	30
RBO-UM	0.277	0.609	0.487	28

Table 4. Comparative experimental results of mainstream tracking algorithms

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Table 4. Comparative experimental results of mainstream tracking algorithms

Tracking algorithm	EAO ↑	Accuracy ↑	Robustness ↓	Speed /（frame/s）↑
SiamRPN	0.247	0.566	0.592	160
GradNet	0.259	0.588	0.524	80
RBO	0.263	0.600	0.502	30
SiamRPN++	0.285	0.591	0.482	35
STARK	0.301	0.602	0.475	31
Ours	0.304	0.592	0.456	32

Table 5. Comparison results of different video sequences based on the VOT2019 dataset

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Table 5. Comparison results of different video sequences based on the VOT2019 dataset

Video sequence	Algorithm	EAO ↑	Accuracy ↑	Robustness ↓	Speed /（frame/s）↑
Girl	SiamRPN++	0.551	0.674	0.237	35.1
Girl	SiamRPN++-UM	0.599	0.693	0.200	32.3
Gymnastics1	SiamRPN++	0.690	0.561	0	35.9
Gymnastics1	SiamRPN++-UM	0.697	0.567	0	33.0
Tiger	SiamRPN++	0.740	0.699	0	36.8
Tiger	SiamRPN++-UM	0.752	0.714	0	33.6
Nature	SiamRPN++	0.634	0.614	0.300	34.4
Nature	SiamRPN++-UM	0.654	0.625	0.200	31.5

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Yuwen Mao, Baozhen Ge, Jianing Quan, Qibo Chen. Template Update Mechanism for Single Target Tracking Incorporating Memory Information[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0837006

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