Vehicle Tracking Algorithm Based on Scale Search

Yongkun Fan; Zhengdao Zhang; Li Peng

doi:10.3788/LOP56.221501

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 22 >Page 221501 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 22, 221501 (2019)

Vehicle Tracking Algorithm Based on Scale Search

Yongkun Fan, Zhengdao Zhang^*, and Li Peng

Author Affiliations

School of Internet of Things, Jiangnan University, Wuxi, Jiangsu 214122, China

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DOI: 10.3788/LOP56.221501 Cite this Article Set citation alerts

Yongkun Fan, Zhengdao Zhang, Li Peng. Vehicle Tracking Algorithm Based on Scale Search[J]. Laser & Optoelectronics Progress, 2019, 56(22): 221501 Copy Citation Text

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Fig. 1. Overview of vehicle tracking algorithm based on scale search

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Fig. 2. Overall performance of each algorithm. (a) Location precision; (b) success rate

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Fig. 3. Tracking renderings of partial video sequences. (a) BlurCar1-OTB; (b) BlurCar2-OTB; (c) Car1-OTB; (d) Car7-UAV; (e) Car24-OTB; (f) CarDark-OTB

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Algorithm	CSK	KCF	CN	CT	DSST	RPT	SAMF	Ours
Scale estimation	N	N	N	N	Y	Y	Y	Y
DP	0.636	0.865	0.088	0.398	0.890	0.859	0.888	0.968
AUC	0.477	0.580	0.006	0.231	0.603	0.656	0.746	0.778
FPS	240.69	155.70	99.00	49.69	23.50	2.88	10.15	15.65

Table 1. Overall performance of each algorithm

Impactfactor	Update withfixed weight		Update withadaptive weight
Impactfactor	DP	AUC	DP	AUC
SV	0.929	0.638	0.964	0.731
IV	0.899	0.659	0.972	0.752
BC	0.856	0.604	0.973	0.744
MB	0.879	0.721	0.965	0.783
LR	0.927	0.586	0.976	0.651

Table 2. Performance comparison of fixed weight update and adaptive weight update

Algorithm	SV		IV		BC		MB		LR
Algorithm	DP	AUC	DP	AUC	DP	AUC	DP	AUC	DP	AUC
Ours	0.964	0.731	0.972	0.752	0.973	0.744	0.965	0.783	0.976	0.651
SAMF	0.883	0.697	0.874	0.688	0.848	0.622	0.854	0.743	0.897	0.683
RPT	0.890	0.618	0.888	0.649	0.837	0.646	0.806	0.651	0.906	0.601
DSST	0.886	0.516	0.870	0.552	0.863	0.578	0.836	0.697	0.876	0.497
CT	0.370	0.234	0.352	0.228	0.265	0.184	0.286	0.248	0.424	0.231
CN	0.052	0.002	0.103	0.002	0.152	0.002	0.033	0.009	0.052	0.002
KCF	0.849	0.504	0.838	0.523	0.820	0.539	0.818	0.688	0.834	0.485
CSK	0.605	0.433	0.639	0.479	0.650	0.533	0.549	0.497	0.607	0.401

Table 3. Performance of each algorithm under different factors

Yongkun Fan, Zhengdao Zhang, Li Peng. Vehicle Tracking Algorithm Based on Scale Search[J]. Laser & Optoelectronics Progress, 2019, 56(22): 221501

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