Scale Adaptive Kernel Correlation Tracking Method with High Confidence

Name	Translation confidence criterion	Scale confidence criterion	Value
Ours 1	$\{\begin{array}{l} A_{APCE, p, t} > θ \\ \max [S_{p, t}] > θ \end{array}$	$\{\begin{array}{l} A_{APCE, scale, t} > θ \\ \max [S_{scale, t}] > θ \end{array}$	θ=0.5
Ours 2	$\{\begin{array}{l} A_{APCE, p, t} > α_{1} \frac{1}{t - 1} \overset{t - 1}{\sum_{i = 1}} A_{APCE, p, t}^{(i)} \\ \max [S_{p, t}] > α_{2} \frac{1}{t - 1} \overset{t - 1}{\sum_{i = 1}} \max [S_{p, t}^{(i)}] \end{array}$	$\{\begin{array}{l} A_{APCE, scale, t} > α_{1} \frac{1}{t - 1} \overset{t - 1}{\sum_{i = 1}} A_{APCE, scale, t}^{(i)} \\ \max [S_{scale, t}] > α_{2} \frac{1}{t - 1} \overset{t - 1}{\sum_{i = 1}} \max [S_{scale, t}^{(i)}] \end{array}$	$\begin{array}{l} α_{1} = 0.45 \\ α_{2} = 0.70 \end{array}$

Table 2. Setting of experimental parameters
View table
Table 2. Setting of experimental parameters
Paramater Value
CF (HOG)model learning rate 0.01
Background and foreground colour models learning rate 0.04
Scale learning rate 0.008
Interpolation factor 0.3

Table 3. Performance comparison of different trackers
View table
Table 3. Performance comparison of different trackers
Parameter Ours 1 Ours 2 SAMF KCC KCF DCF
Average precision 0.794 0.761 0.751 0.755 0.696 0.690
Average success rate 0.694 0.673 0.674 0.565 0.551 0.548
Average frame rate/(frame×s^-1) 15.340 16.350 5.476 16.680 72.382 105.650

Table 4. Average precision facing different tracking challenges

View table

Table 4. Average precision facing different tracking challenges

Attribute	Ours 1	Ours 2	SAMF	KCC	KCF	DCF
SV(63)	0.745	0.715	0.701	0.701	0.635	0.628
FM(39)	0.714	0.680	0.654	0.711	0.621	0.603
BC(31)	0.832	0.814	0.689	0.808	0.713	0.686
MB(29)	0.700	0.691	0.655	0.713	0.601	0.576
IV(37)	0.809	0.790	0.708	0.808	0.724	0.698
OV(14)	0.682	0.610	0.628	0.652	0.501	0.487
IPR(51)	0.802	0.782	0.721	0.750	0.701	0.686
DEF(43)	0.756	0.693	0.680	0.751	0.619	0.623
LR(9)	0.606	0.518	0.685	0.494	0.560	0.564
OCC (48)	0.724	0.685	0.722	0.679	0.632	0.611
OPR (63)	0.754	0.715	0.739	0.716	0.677	0.665

Table 5. Average success rate facing different tracking challenges

View table

Table 5. Average success rate facing different tracking challenges

Attribute	Ours 1	Ours 2	SAMF	KCC	KCF	DCF
SV(63)	0.606	0.589	0.584	0.495	0.415	0.416
FM(39)	0.640	0.630	0.595	0.599	0.526	0.521
BC(31)	0.783	0.769	0.639	0.625	0.609	0.597
MB(29)	0.640	0.653	0.641	0.651	0.550	0.542
IV(37)	0.707	0.707	0.640	0.599	0.550	0.534
OV(14)	0.603	0.566	0.551	0.516	0.457	0.450
IPR(51)	0.696	0.680	0.641	0.548	0.553	0.544
DEF(43)	0.651	0.608	0.606	0.606	0.503	0.505
LR(9)	0.418	0.382	0.515	0.244	0.295	0.301
OCC (48)	0.653	0.630	0.664	0.530	0.512	0.500
OPR (63)	0.654	0.625	0.660	0.530	0.527	0.519

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Fujin Li, Huihui Liu, Hongge Ren, Tao Shi. Scale Adaptive Kernel Correlation Tracking Method with High Confidence[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0815004

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