Most trackers perform template and search region similarity matching to find
the most similar object to the template during tracking. However, they struggle
to make prediction when the target appearance changes due to the limited
historical information introduced by roughly cropping the current search region
based on the predicted result of previous frame. In this paper, we identify
that the central impediment to improving the performance of existing trackers
is the incapacity to integrate abundant and effective historical information.
To address this issue, we propose a Historical Information Prompter (HIP) to
enhance the provision of historical information. We also build HIPTrack upon
HIP module. HIP is a plug-and-play module that make full use of search region
features to introduce historical appearance information. It also incorporates
historical position information by constructing refined mask of the target. HIP
is a lightweight module to generate historical information prompts. By
integrating historical information prompts, HIPTrack significantly enhances the
tracking performance without the need to retrain the backbone. Experimental
results demonstrate that our method outperforms all state-of-the-art approaches
on LaSOT, LaSOT ext, GOT10k and NfS. Futhermore, HIP module exhibits strong
generality and can be seamlessly integrated into trackers to improve tracking
performance. The source code and models will be released for further research.

该研究提出了一种历史信息提示器（HIP）和基于 HIP 模块的 HIPTrack，以增强跟踪器的历史信息提供，进而显著提高跟踪性能。该方法在 LaSOT、LaSOT ext、GOT10k 和 NfS 数据集上表现优于目前所有最先进的方法，并且 HIP 模块具有很高的通用性，可以无缝集成到跟踪器中以提高跟踪性能。