尺度感知的分块协同式相关滤波跟踪算法

doi:10.16451/j.cnki.issn1003-6059.201910001

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Abstract When partition-based correlation filtering tracking algorithm is applied to deal with scale changes and target occlusion problems, the estimation of local sub-block state tracking and the relationship between local sub-block and scale change are inaccurate.To address this issue, a scale-aware partition-based cooperative correlation filter tracking algorithm is proposed. A method of local sub-block occlusion discrimination based on time-sequence smooth constraint is adopted, and the scoring strategy of the existing algorithm is improved. A cooperative motion strategy for sub-blocks is then designed to make the occluded or the deformed sub-blocks follow the normal ones to their due positions. And the ratio between target scale and distributed location of sub-blocks aggregation and dispersion is discovered to perceive target scale changes and estimate sizes. Experiments indicate that the proposed algorithm achieves better performance.

Key words： Scale-Aware Partition-Based Cooperation Correlation Filter Target Tracking

Received: 28 April 2019

ZTFLH:

TP 391

Fund:Supported by National Natural Science Foundation of China(No.61672158), Natural Science Foundation of Fujian Province(No.2018J01798)

Corresponding Authors: CHEN Zhaojiong, master, professor. Her research interests include intelligent image processing and computational intelligence.

About author:: CHEN Can, master student. His research interests include image processing;GU Yang, master student. Her research interests include image processing;YE Dongyi, Ph.D., professor. His resear-ch interests include computational intelligence and data mining.

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	CHEN Can
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	YE Dongyi

Cite this article:

CHEN Can,CHEH Zhaojiong,GU Yang等. Scale-Aware Partition-Based Cooperative Correlation Filter Tracking Algorithm[J]. , 2019, 32(10): 869-881.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201910001 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2019/V32/I10/869

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