• Acta Optica Sinica
  • Vol. 38, Issue 6, 0612004 (2018)
Wenjie Zhu, Guanglong Wang*, Jie Tian, Zhongtao Qiao, and Fengqi Gao
Author Affiliations
  • Laboratory of Nanotechnology and Micro System, Army Engineering University, Shijiazhuang, Hebei 050003, China
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    DOI: 10.3788/AOS201838.0612004 Cite this Article Set citation alerts
    Wenjie Zhu, Guanglong Wang, Jie Tian, Zhongtao Qiao, Fengqi Gao. Detection of Moving Objects in Complex Scenes Based on Multiple Features[J]. Acta Optica Sinica, 2018, 38(6): 0612004 Copy Citation Text show less
    References

    [1] Cheng F C, Chen B H, Huang S. A hybrid background subtraction method with background and foreground candidates detection[J]. ACM Transactions on Intelligent Systems and Technology, 1, 1-14(2015). http://dl.acm.org/citation.cfm?id=2746409

    [2] Chen S Y, Xu T F, Li D Q et al. Moving object detection using scanning camera on a high-precision intelligent holder[J]. Sensors, 16, 1758(2016). http://europepmc.org/articles/PMC5087542/

    [3] Chen H Y, Qie L Z, Yang D D et al. Visual background extraction algorithm based on superpixel information feedback[J]. Acta Optica Sinica, 37, 0715001(2017).

    [4] Kumar P, Singhal A, Mehta S et al. Real-time moving object detection algorithm on high-resolution videos using GPUs[J]. Journal of Real-Time Image Processing, 11, 93-109(2016). http://link.springer.com/article/10.1007/s11554-012-0309-y

    [5] Chua T W, Leman K, Wang Y. Fuzzy rule-based system for dynamic texture and color based background subtraction[C]. IEEE International Conference on Fuzzy Systems, 7, 10-15(2012).

    [6] Song T, Li O, Cui H L. A moving object detection method based on scene perception[J]. Acta Electronica Sinica, 44, 2625-2632(2016).

    [7] Tu L F, Zhong S D, Peng Q. Moving object detection method based on complementary multi resolution background models[J]. Journal of Central South University, 21, 2306-2314(2014). http://d.wanfangdata.com.cn/Periodical/zngydxxb-e201406022

    [8] Prashant D, Pratik S, Suman K M. Fast and accurate foreground background separation for video surveillance[J]. Lecture Notes in Computer Science, 9124, 96-103(2015). http://link.springer.com/10.1007/978-3-319-19941-2_10

    [9] Lee I S, Tsai W H. Data hiding in grayscale images by dynamic programming based on a human visual model[J]. Pattern Recognition, 42, 1604-1611(2009). http://www.sciencedirect.com/science/article/pii/S0031320309000429

    [10] Guo M, Hu L L, Zhao J T. Surface defect detection method of ceramic bowl based on Kirsch and Canny operator[J]. Acta Optica Sinica, 36, 0904001(2016).

    [11] Zou Y B, Zhou W L, Chen X Z. Research of laser vision seam detection and tracking system based on depth hierarchical feature[J]. Chinese Journal of Lasers, 44, 0402009(2017).

    [12] Wang Y, Yipierre J, Fatih P et al. CDnet 2014: An expanded change detection benchmark dataset[C]. Computer Vision & Pattern Recognition Workshops, 14632506(2014).

    [13] Zivkovic Z. Improved adaptive Gaussian mixture model for background subtraction[C]. International Conference on Pattern Recognition, 8, 28-31(2004).

    [14] Heikkila M, Pietikainen M. A texture-based method for modeling the background and detecting moving objects[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 28, 657-662(2006). http://doi.ieeecomputersociety.org/10.1109/TPAMI.2006.68

    [15] Schick A, Auml M B, Stiefelhagen R. Improving foreground segmentations with probabilistic superpixel Markov random fields[C]. Computer Vision & Pattern Recognition Workshops, 12865142(2012).

    [16] Barnich O, van Droogenbroeck M. ViBe: A universal background subtraction algorithm for video sequences[J]. IEEE Transactions on Image Processing, 20, 1709-1724(2011). http://europepmc.org/abstract/MED/21189241

    [17] Bloisi D D, Pennisi A, Iocchi L. Background modeling in the maritime domain[J]. Machine Vision and Applications, 25, 1257-1269(2014). http://link.springer.com/article/10.1007/s00138-013-0554-5

    Wenjie Zhu, Guanglong Wang, Jie Tian, Zhongtao Qiao, Fengqi Gao. Detection of Moving Objects in Complex Scenes Based on Multiple Features[J]. Acta Optica Sinica, 2018, 38(6): 0612004
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