Scale Adaptive Correlation Filtering Tracing Algorithm Based on Feature Fusion

Table 1. Comparison of performance of proposed algorithm and KCF algorithm under different color space features
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Table 1. Comparison of performance of proposed algorithm and KCF algorithm under different color space features
Evaluation index Lab RGB YCbCr HSV rg KCF
Average CLE /pixel 19.4 39.3 46.3 24.6 38.5 42.7
Average DP /% 81.2 73.1 72.6 76.4 74.6 71.8
Average OP /% 74.3 68.3 65.6 71.3 64.5 60.5

Table 2. Comparison of performance of proposed algorithm and other algorithms

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Table 2. Comparison of performance of proposed algorithm and other algorithms

Evaluation	Proposed	SAMF	RPT	TGPR	DSST	KCF
Average CLE /pixel	19.4	34.4	48.5	56.3	50.3	42.7
Average DP /%	81.2	76.8	75.1	70.2	69.8	71.8
Average OP /%	74.3	70.4	64.6	63.4	61.8	60.8
Average speed /(frame·s^-1)	76.0	18.7	5.3	0.7	41.7	258.0

Table 3. DP of different algorithms
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Table 3. DP of different algorithms
Sequence Proposed SAMF KCF
Basketball 1.00 0.97 0.92
Carscale 0.98 0.85 0.80
David 0.93 0.85 0.84
Girl 0.95 0.94 0.86
Shaking 0.94 0.91 0.03
Singer2 1.00 1.00 0.94

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Cong Li, Cunyue Lu, Xun Zhao, Baomin Zhang, Hongyu Wang. Scale Adaptive Correlation Filtering Tracing Algorithm Based on Feature Fusion[J]. Acta Optica Sinica, 2018, 38(5): 0515001

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