Weighted Correlation Filter Tracking Algorithm Based on Context and Relocation

Table 1. Tracking results under different feature weights
View table
Table 1. Tracking results under different feature weights
CN HOG Average DP /% Average OP /%
1 0.5 85.6 79.1
1 1.0 85.7 78.2
1 1.5 84.8 78.0
1 2.0 86.8 80.3
1 2.5 84.7 77.7
Note: best results in table are in the fourth row, and results of the ECO-HC algorithm are in the second row.

Table 2. Tracking results of three contextual features
View table
Table 2. Tracking results of three contextual features
Magnification times of target size 1.1 1.2 1.3
Average CLE /pixel 19.1 19.2 23.3
Average DP /% 88.5 88.3 86.9
Average OP /% 80.0 79.7 78.6
Speed /(frame·s^-1) 65.2 65.0 64.8

Table 3. Tracking results of each strategy added in turn

View table

Table 3. Tracking results of each strategy added in turn

ECO-HCalgorithm	Adaptive Newton iteration	Weighted fusion	Multi-scale search area	Contextual features	Object relocation	Average DP /%	Average OP /%	Speed /(frame·s^-1)
√						85.6	78.5	60.0
√	√					85.6	78.5	66.8
√	√	√				86.8	80.3	65.7
√	√	√	√			87.7	80.4	65.8
√	√	√	√	√		88.5	80.0	65.2
√	√	√	√	√	√	89.2	80.6	65.2

Table 4. Comparison results of 9 algorithms in OTB-100

View table

Table 4. Comparison results of 9 algorithms in OTB-100

	Proposedalgorithm	ECO-HCalgorithm	HCFTS	CSR-DCF	Staple	LMCF	D_LMCF	SRDCF	D_SRDCF
Average CLE /pixel	17.0	22.7	16.6	24.6	31.5	39.0	21.3	38.6	21.4
Average DP /%	89.2	85.6	87.0	79.9	78.4	78.9	85.9	78.9	85.1
Average OP /%	80.6	78.5	72.1	70.2	70.9	71.9	76.1	72.9	77.3
Speed /(frame·s^-1)	65.2	60.0	6.0	6.5	26.4	65.5	6.9	3.0	0.2

Tools

Get Citation

Copy Citation Text

Changzhen Xiong, Yan Lu, Jiaqing Yan. Weighted Correlation Filter Tracking Algorithm Based on Context and Relocation[J]. Acta Optica Sinica, 2019, 39(4): 0415004

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites