Object Tracking Algorithm Based on Accelerated Adaptive Spatial-Temporal Background Aware Correlation Filters

被引：0
|
作者：
Li Y. [1 ]
Wei F. [1 ]
Zhou Z. [1 ]
Zhao J. [1 ]
机构：
[1] Department of Applied Mathematics, College of Sciences, China Jiliang University, Hangzhou
来源：
Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence | 2022年 / 35卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Accelerated Alternating Direction Method of Multipliers; Adaptive Weight; Correlation Filter; Object Tracking; Spatial-Temporal Regularization;
D O I：
10.16451/j.cnki.issn1003-6059.202201008
中图分类号：
学科分类号：
摘要：
Designing a robust tracking algorithm based on correlation filters is an important research direction in the target tracking. The information of background, space and time is significant for improving the tracking performance of the algorithm. Grounded on the background-aware tracking algorithm, an object tracking algorithm based on accelerated adaptive spatial-temporal background aware correlation filter is proposed by fusing the spatial information, temporal information and the adaptability of the spatial weight matrix. Then, the appearance optimization model is solved by the accelerated alternating direction method of multipliers to obtain the spatial weight matrix and the correlation filter to realize the adaptive tracking. The proposed tracking algorithm enhances the discrimination of the tracker for the object from the background with the background information, spatial information and the adaptive spatial weight. The problem of tracking drifting for the case of target occlusion is alleviated by the temporal-regularization term, and the solving process is speeded up by the accelerated alternating direction method of multipliers. Experiments illustrate that the proposed algorithm produces better tracking results in the cases of target occlusion and background interference. © 2022, Science Press. All right reserved.
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页码：82 / 91
页数：9
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