[1] Wren C R, Azarbayejani A, Darrell T, et al. Pfinder: Real-time tracking of the human body[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7): 780-785. [2] Stauffer C, Grimson W E L. Adaptive background mixture models for real-time tracking[C]// Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Fort Collins, USA: IEEE Press, 1999, 2: 252-258. [3] Jepson A D, Fleet D J, El-Maraghi T F. Robust online appearance models for visual tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(10): 1 296-1 311. [4] Zivkovic Z. Improved adaptive Gaussian mixture model for background subtraction[C]// Proceedings of the 17th International Conference on Pattern Recognition. Cambridge, UK: IEEE Press, 2004, 2: 28-31. [5] Elgammal A, Harwood D, Davis L. Nonparametric model for background subtraction[C]//Proceedings of the 6th European Conference on Computer Vision. Dublin, Ireland, 2000: 751-767. [6] Sheikh Y, Shah M. Bayesian modeling of dynamic scenes for object detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(11): 1 778-1 792. [7] Kim K, Chalidabhongse T H, Harwood D, et al. Real-time foreground-background segmentation using codebook model[J]. Real-time imaging, 2005, 11(3): 172-185. [8] Barnich O, Van Droogenbroeck M. ViBe: A universal background subtraction algorithm for video sequences[J]. IEEE Transactions on Image Processing, 2011, 20(6): 1 709-1 724. [9] Maddalena L, Petrosino A. A self-organizing approach to background subtraction for visual surveillance applications[J]. IEEE Transactions on Image Processing, 2008, 17(7): 1 168-1 177. [10] Maddalena L, Petrosino A. The SOBS algorithm: What are the limits?[C]// Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Providence, USA: IEEE Press, 2012: 21-26. [11] Li L Y, Huang W M, Gu I Y H, et al. Statistical modeling of complex backgrounds for foreground object detection[J]. IEEE Transactions on Image Processing, 2004, 13(11): 1 459-1 472. [12] Heikkil M, Pietikinen M. A texture-based method for modeling the background and detecting moving objects[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(4): 657-662. [13] Liao S C, Zhao G Y, Kellokumpu V, et al. Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes[C]//Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco, USA: IEEE Press, 2010: 1 301-1 306. [14] Parag T, Elgammal A, Mittal A. A framework for feature selection for background subtraction[C]// Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York, USA: IEEE Press, 2006, 2: 1 916-1 923. [15] Han B, Davis L S. Density-based multifeature background subtraction with support vector machine[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(5): 1 017-1 023. [16] Guo J M, Hsu C S. Cascaded background subtraction using block-based and pixel-based codebooks[C]// Proceedings of the 20th IEEE International Conference on Pattern Recognition. Istanbul, Turkey: IEEE Press, 2010: 1 373-1 376. [17] Zaharescu A, Jamieson M. Multi-scale multi-feature codebook-based background subtraction[C]// Proceedings of the IEEE International Conference on Computer Vision Workshops. Barcelona, Spain: IEEE Press, 2011: 1 753-1 760. [18] Lettvin J Y, Maturana H R, McCulloch W S, et al. What the frogs eye tells the frogs brain[J]. Proceedings of the IRE, 1959, 47(11): 1 940-1 951. [19] Ingle D. Disinhibition of tectal neurons by pretectal lesions in the frog[J]. Science, 1973, 180(4084): 422-424. [20] Wang Zhiling, Chen Zonghai, Xu Xiaoxiao, et al. A fuzzy region understanding tactic for object tracking based on frogs vision characteristic[J]. Acta Automatica Sinica, 2009, 35(8): 1 048-1 054. 王智灵, 陈宗海, 徐萧萧, 等. 基于蛙眼视觉特性的运动目标模糊化区域理解跟踪方法[J]. 自动化学报, 2009, 35(8): 1 048-1 054. [21] Comaniciu D, Meer P. Mean shift: A robust approach toward feature space analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(5): 603-619. [22] Jain A K. Fundamentals of Digital Image Processing[M]. Englewood Cliffs, USA: Prentice Hall, 1989. [23] Sharma G, Trussell H.J. Digital color imaging[J]. IEEE Transactions on Image Processing, 1997, 6(7): 901-932. [24] Goyette N, Jodoin P, Porikli F, et al. Changedetection.net: A new change detection benchmark dataset[C]// Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Providence, USA: IEEE Press, 2012: 1-8. [25] Hofmann M, Tiefenbacher P, Rigoll G. Background segmentation with feedback: The pixel-based adaptive segmenter[C]// Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Providence, USA: IEEE Press, 2012: 38-43. [26] Van Droogenbroeck M, Paquot O. Background subtraction: Experiments and improvements for ViBe[C]//Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Providence, USA: IEEE Press, 2012: 32-37. |