Volume 43 Issue 10
Nov.  2014
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Xu Peng, Li Dongguang, Jin Bailiang. Moving object detection method based on region growing and EMDs model[J]. Infrared and Laser Engineering, 2014, 43(10): 3486-3491.
Citation: Xu Peng, Li Dongguang, Jin Bailiang. Moving object detection method based on region growing and EMDs model[J]. Infrared and Laser Engineering, 2014, 43(10): 3486-3491.

Moving object detection method based on region growing and EMDs model

  • Received Date: 2014-02-05
  • Rev Recd Date: 2014-03-15
  • Publish Date: 2014-10-25
  • An infrared moving object detection method which combines Reichardt-type two dimensions Elementary Motion Detectors inspired by biological vision and region growing method was proposed to solve the two dimensions EMDs' sensitive problem in dynamic scenes. EMDs detected the most intensive motion vector signal in temporal domain which was then used as the seeds of the region growing. Region growing method was applied to make a segmentation of the target by its infrared radiation characteristic much different from background in spatial domain. The simulation illustrates that, combing the EMDs in temporal domain with the region growing method in spatial domain achieves much better detection performance in infrared frames than the original Reichardt's model. Compared with other methods, the proposed method could achieve a higher SCR.
  • [1] Ren Zhang, Li Lu, Jiang Hong. Moving target detecting algorithm for IR images sequence[J]. Infrared and Laser Engineering, 2007, 36(S2): 136-140. (in Chinese)
    [2]
    [3] Qu Youshan, Tian Weijian, Li Yingcai. Moving point targets detection based on the infinite norm of the discontinuous frame difference vector[J]. Infrared and Laser Engineering, 2003, 32(2): 157-162. (in Chinese)
    [4]
    [5] Liu Xingmiao, Wang Shicheng, Zhao Jing. Infrared image moving object detection based on image block reconstruction.[J]. Infrared and Laser Engineering, 2011, 40(1): 176-180. (in Chinese)
    [6]
    [7] Song Fengqin, Li Min, Fan Xinnan, et al. A target extraction method in disordered and dynamic background based on visual cognition theory[J]. Journal of OptoelectronicsLaser. 2012, 23(2): 366-373. (in Chinese)
    [8]
    [9]
    [10] Li Yanjun, Zhan Ke. Vision Bionics Image Guidance Technique and Application[M]. Beijing: National Defense Industry Press, 2006: 91-115. (in Chinese)
    [11] Reichardt W, Egelhaaf M, Guo A. Processing of figure and background motion in the visual system of the fly[J]. Biological Cybernetics, 1989, 61(5): 327-345.
    [12]
    [13]
    [14] Sun Bin. Computational study of motion perception[D]. Hubei: Huazhong University of Science and Technology, 2010: 14-16. (in Chinese)
    [15]
    [16] Borst A, Euler T. Seeing things in motion: models, circuits, and mechanisms[J]. Neuron, 2011, 71(6): 974-994.
    [17] Fleishman L J, Pallus A C. Motion perception and visual signal design in Anolis lizards[J]. Proceedings of the Royal Society B: Biological Sciences, 2010, 277(1700): 3547-3554.
    [18]
    [19] Song Chengtian, Jiang Yiming, Wang Keyong, et al. Infrared image segmentation algorithm of tank[J]. Infrared and Laser Engineering, 2007, 36(S): 275-278. (in Chinese)
    [20]
    [21]
    [22] Gonzalez Rafael C, Woods Richard E, Eddins Steven L. Digital Image Processing Using MATLAB[M]. Beijing:Publishing House of Electronics Industry, 2004: 273-274, 308-310. (in Chinese)
    [23] Otsu N. A threshold selection method form gray-level histograms[J]. IEEE Trans Systems Man and Cybernetics, 1979, SMC-9(1): 62-66.
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Moving object detection method based on region growing and EMDs model

  • 1. National Key Laboratory of Science and Technology on Electromechanical Dynamic Control,Beijing Institute of Technology,Beijing 100081,China;
  • 2. No. 63956 Troops of PLA,Beijing 100093,China

Abstract: An infrared moving object detection method which combines Reichardt-type two dimensions Elementary Motion Detectors inspired by biological vision and region growing method was proposed to solve the two dimensions EMDs' sensitive problem in dynamic scenes. EMDs detected the most intensive motion vector signal in temporal domain which was then used as the seeds of the region growing. Region growing method was applied to make a segmentation of the target by its infrared radiation characteristic much different from background in spatial domain. The simulation illustrates that, combing the EMDs in temporal domain with the region growing method in spatial domain achieves much better detection performance in infrared frames than the original Reichardt's model. Compared with other methods, the proposed method could achieve a higher SCR.

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