Jianming Zhang1,2,*, Kai Wang1,2, Yaoqi He1,2, Lidan Kuang1,2
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.3, pp. 909-927, 2022, DOI:10.32604/cmes.2022.020471
Abstract Recently, Siamese-based trackers have achieved excellent performance in object tracking. However, the high speed
and deformation of objects in the movement process make tracking difficult. Therefore, we have incorporated
cascaded region-proposal-network (RPN) fusion and coordinate attention into Siamese trackers. The proposed
network framework consists of three parts: a feature-extraction sub-network, coordinate attention block, and
cascaded RPN block.We exploit the coordinate attention block, which can embed location information into channel
attention, to establish long-term spatial location dependence while maintaining channel associations. Thus, the
features of different layers are enhanced by the coordinate attention block. We then send these features separately
into… More >
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