ADetection and partition for closely spaced objects using Markov random field model

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

doi:10.11972/j.issn.1001-9014.2015.05.015

Journals >Journal of Infrared and Millimeter Waves >Volume 34 >Issue 5 >Page 599 > Article

Journal of Infrared and Millimeter Waves
Vol. 34, Issue 5, 599 (2015)

ADetection and partition for closely spaced objects using Markov random field model

[in Chinese], [in Chinese], [in Chinese], [in Chinese], and [in Chinese]

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[in Chinese]

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DOI: 10.11972/j.issn.1001-9014.2015.05.015 Cite this Article

[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. ADetection and partition for closely spaced objects using Markov random field model[J]. Journal of Infrared and Millimeter Waves, 2015, 34(5): 599 Copy Citation Text

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References

[2] LIN Liang-kui, XU Hui, AN Wei, et al. Tracking a large number of closely spaced objects based on the particle probability hypothesis density filter via optical sensor[J]. Optical Engineering, 2011,50(11):116401.

[8] Constantin J M, Berry M W, Vander Zanden B T. Parallelization of the Hoshen-Kopelman algorithm using a finite state machine[J]. International Journal of High Performance Computing Applications, 1997, 11(1): 34-48.

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