An Improved Kernelized Correlation Filter Based Visual Tracking Method

Table 5

The distance precision of the different trackers in nine challenging attributes.

Different	The methods
attributes	SLKCF	KCF	DSST	SAMF	CSK	MUSTER	CT	TLD	Struck	DFT
FM	0.954	0.673	0.797	0.832	0.345	0.721	0.381	0.386	0.633	0.609
BC	0.962	0.366	0.83	0.544	0.499	0.748	0.355	0.441	0.399	0.632
MB	0.944	0.607	0.816	0.864	0.192	0.701	0.212	0.153	0.626	0.588
DEF	0.977	0.585	0.585	0.956	0.239	0.947	0.218	0.582	0.621	0.583
IV	0.961	0.548	0.907	0.692	0.326	0.846	0.188	0.396	0.609	0.567
IPR	0.957	0.529	0.788	0.578	0.492	0.829	0.407	0.578	0.574	0.584
OCC	0.97	0.635	0.788	0.787	0.409	0.852	0.409	0.586	0.656	0.485
OPR	0.961	0.541	0.743	0.662	0.436	0.855	0.365	0.579	0.584	0.584
SV	0.962	0.603	0.851	0.661	0.413	0.882	0.33	0.526	0.693	0.54
Average	0.961	0.565	0.789	0.731	0.372	0.82	0.318	0.47	0.599	0.575