Publisher
Springer International Publishing
Reference22 articles.
1. Aleksander, I., Thomas, W., Bowden, P.: Wisard.a radical step forward in image recognition. Sens. Rev. 4, 120–124 (1984).
https://doi.org/10.1108/eb007637
2. Babaee, M., Dinh, D.T., Rigoll, G.: A deep convolutional neural network for video sequence background subtraction. Pattern Recogn. 76(C), 635–649 (2018).
https://doi.org/10.1016/j.patcog.2017.09.040
3. Barnich, O., Droogenbroeck, M.: Vibe: a universal background subtraction algorithm for video sequences. IEEE Trans. Image Process. 20, 1709–1724 (2011).
https://doi.org/10.1109/TIP.2010.2101613
4. Bianco, S., Ciocca, G., Schettini, R.: How far can you get by combining change detection algorithms? CoRR abs/1505.02921 (2015).
http://dblp.uni-trier.de/db/journals/corr/corr1505.html#BiancoCS15a
5. Braham, M., Droogenbroeck, M.V.: Deep background subtraction with scene-specific convolutional neural networks. In: 2016 International Conference on Systems, Signals and Image Processing (IWSSIP), pp. 1–4 (2016)