Tracking fiducial markers with discriminative correlation filters

作者：

Highlights：

• Novel approach for estimating the location of fiducial markers using Discriminative Correlation Filters (DCF).

• Camera localization with marker maps employing a predictive approach.

• Proposed method is fastest and more robust to blur than the state-of-the-art marker detection algorithms.

• The method has been compared to the state-of-the-art SLAM methods obtaining, better accuracy, sensitivity, and speed.

摘要

•Novel approach for estimating the location of fiducial markers using Discriminative Correlation Filters (DCF).•Camera localization with marker maps employing a predictive approach.•Proposed method is fastest and more robust to blur than the state-of-the-art marker detection algorithms.•The method has been compared to the state-of-the-art SLAM methods obtaining, better accuracy, sensitivity, and speed.

论文关键词：Discriminative correlation filter,Squared fiducial markers,Marker mapping SLAM

论文评审过程：Received 26 July 2020, Revised 10 December 2020, Accepted 11 December 2020, Available online 31 December 2020, Version of Record 20 January 2021.

论文官网地址：https://doi.org/10.1016/j.imavis.2020.104094