Journal
SIGNAL PROCESSING-IMAGE COMMUNICATION
Volume 78, Issue -, Pages 200-205Publisher
ELSEVIER
DOI: 10.1016/j.image.2019.05.019
Keywords
Multi-channel memory; Kemelized Correlation Filter; Target tracking
Categories
Funding
- National Natural Science Foundation of China [51405018]
- Basic Scientific Research of National Ministry, China [JCKY2016203A017]
- China Association for Science and Technology [2016XKYL05]
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Aiming at the problems of serious occlusions, deformations, background clutters and so on in the process of target tracking, an improved Kemelized Correlation Filter (KCF) tracking algorithm based on multi-channel memory model is proposed in this paper. Firstly, an updating model based on multi-channel memory is established, in which a control channel is used for memorizing target template, and two executive channels are used for memorizing the parameters and feature of classifier. Then, the established multi-channel memory model is introduced into the updating process of classifier. Our experimental results show that the proposed algorithm can achieve accurate and robust target tracking under the conditions of occlusions, deformations and background clutters.
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