Visual object tracking based on adaptive Siamese and motion estimation network

作者：

Highlights：

• This paper addresses the motion and observation models simultaneously.

• This paper efficiently integrates the Siamese network into the sequence-specific updating.

• Experimental results on public benchmark datasets verify that the proposed approach outperforms the state-of-the-art trackers.

摘要

•This paper addresses the motion and observation models simultaneously.•This paper efficiently integrates the Siamese network into the sequence-specific updating.•Experimental results on public benchmark datasets verify that the proposed approach outperforms the state-of-the-art trackers.

论文关键词：Object tracking,Siamese network,Convolutional neural networks,Motion estimation

论文评审过程：Received 26 July 2018, Revised 3 January 2019, Accepted 17 February 2019, Available online 21 February 2019, Version of Record 28 March 2019.

论文官网地址：https://doi.org/10.1016/j.imavis.2019.02.003