Using synthetic data for person tracking under adverse weather conditions

作者：

Highlights：

• A novel real dataset for pedestrian tracking under adverse weather conditions

• Showed state-of-the-art trackers perform poorly under adverse weather conditions

• Procedurally generated a synthetic dataset covering adverse weather conditions

• Our synthetic dataset boosts trackers performance with adverse weather videos

摘要

•A novel real dataset for pedestrian tracking under adverse weather conditions•Showed state-of-the-art trackers perform poorly under adverse weather conditions•Procedurally generated a synthetic dataset covering adverse weather conditions•Our synthetic dataset boosts trackers performance with adverse weather videos

论文关键词：Person tracking,Synthetic data,Rendering,Procedural generation

论文评审过程：Received 18 April 2021, Accepted 21 April 2021, Available online 27 April 2021, Version of Record 5 May 2021.

论文官网地址：https://doi.org/10.1016/j.imavis.2021.104187