Multi attention module for visual tracking

作者：

Highlights：

• The first tracker leverage multi-level visual attention.

• Utilize LSTM to encode the video temporal information.

• Make DNN-based tracking-by-detection more computationally feasible.

• A promoting strategy for trackers with detection results.

• Yield superior performance in two benchmark.

摘要

•The first tracker leverage multi-level visual attention.•Utilize LSTM to encode the video temporal information.•Make DNN-based tracking-by-detection more computationally feasible.•A promoting strategy for trackers with detection results.•Yield superior performance in two benchmark.

论文关键词：Visual tracking,Deep neural network,Attention model,Long short term memory

论文评审过程：Received 3 May 2018, Revised 10 August 2018, Accepted 7 October 2018, Available online 11 October 2018, Version of Record 16 October 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.10.005