A novel video dataset for change detection benchmarking.

作者: Nil Goyette , Pierre-Marc Jodoin , Fatih Porikli , Janusz Konrad , Prakash Ishwar

DOI: 10.1109/TIP.2014.2346013

关键词:

摘要: … is on change detection in video, where (a) the dimensionality and size of the data can be quite high: typical video … Some of the commonly used change detection techniques for video …

参考文章(84)
Francisco J. Hernandez-Lopez, Mariano Rivera, Change detection by probabilistic segmentation from monocular view Machine Vision and Applications. ,vol. 25, pp. 1175- 1195 ,(2014) , 10.1007/S00138-013-0564-3
Fatih Porikli, None, Multiplicative Background-Foreground Estimation Under Uncontrolled Illumination using Intrinsic Images workshop on applications of computer vision. ,vol. 2, pp. 20- 27 ,(2005) , 10.1109/ACVMOT.2005.84
L. Wixson, Detecting salient motion by accumulating directionally-consistent flow IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 22, pp. 774- 780 ,(2000) , 10.1109/34.868680
Bohyung Han, L. S. Davis, Density-Based Multifeature Background Subtraction with Support Vector Machine IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 34, pp. 1017- 1023 ,(2012) , 10.1109/TPAMI.2011.243
N. J. B. McFarlane, C. P. Schofield, Segmentation and tracking of piglets in images machine vision applications. ,vol. 8, pp. 187- 193 ,(1995) , 10.1007/BF01215814
Satoshi Yoshinaga, Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi, Background model based on intensity change similarity among pixels korea-japan joint workshop on frontiers of computer vision. pp. 276- 280 ,(2013) , 10.1109/FCV.2013.6485504
Mustafa Karaman, Lutz Goldmann, Da Yu, Thomas Sikora, Comparison of static background segmentation methods visual communications and image processing. ,vol. 5960, pp. 596069- ,(2005) , 10.1117/12.633437
Cong Zhao, Xiaogang Wang, Wai-Kuen Cham, Background Subtraction via Robust Dictionary Learning Eurasip Journal on Image and Video Processing. ,vol. 2011, pp. 972961- ,(2011) , 10.1155/2011/972961
Jun He, L. Balzano, A. Szlam, Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video computer vision and pattern recognition. pp. 1568- 1575 ,(2012) , 10.1109/CVPR.2012.6247848
M. Heikkila, M. Pietikainen, A texture-based method for modeling the background and detecting moving objects IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 28, pp. 657- 662 ,(2006) , 10.1109/TPAMI.2006.68