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