Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Media Technology,Information Systems
Reference49 articles.
1. Camplani M, Maddalena L, Alcover GM, Petrosino A, Salgado L (2017) A benchmarking framework for background subtraction in rgbd videos. In: International conference on image analysis and processing. Springer, pp 219–229
2. Mandal M, Vipparthi SK (2020) Scene independency matters: an empirical study of scene dependent and scene independent evaluation for cnn-based change detection. IEEE Trans Intell Transp Syst
3. Tezcan MO, Ishwar P, Konrad J (2021) Bsuv-net 2.0: Spatio-temporal data augmentations for video-agnostic supervised background subtraction. IEEE Access 9:53849–53860
4. Stauffer C, Grimson WEL (1999) Adaptive background mixture models for real-time tracking. In: Proceedings. 1999 IEEE computer society conference on computer vision and pattern recognition (Cat. No PR00149) 2:246–252 (IEEE)
5. KaewTraKulPong P, Bowden R (2002) An improved adaptive background mixture model for real-time tracking with shadow detection. In: Video-based surveillance systems. Springer, pp 135–144
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献