Object tracking algorithm for Hausdorff distance based on multiresolution

[in Chinese]; [in Chinese]

Journals >Chinese Journal of Quantum Electronics >Volume 22 >Issue 1 >Page 25 > Article

Chinese Journal of Quantum Electronics
Vol. 22, Issue 1, 25 (2005)

Object tracking algorithm for Hausdorff distance based on multiresolution

[in Chinese]^* and [in Chinese]

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[in Chinese]

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[in Chinese], [in Chinese]. Object tracking algorithm for Hausdorff distance based on multiresolution[J]. Chinese Journal of Quantum Electronics, 2005, 22(1): 25 Copy Citation Text

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References

[1] Huttenlocher D P, Klanderman G A, Ruchlidge W J. Comparing image using the Hausdorff distance [J]. IEEETran PAMI, 1993, 15(9): 850-863.

[2] Meier Thomas, Ngan King N. Automatic segmentation of moving objects for video object plane generation [J].IEEE Transactions on Circuits and Systems for Video Technology, 1998, (5): 525-540.

[3] Know Oh-Kyn, Sim Dong-gyn, Park Rae-Hong. Robust Hausdorff distance matching algorithms using Pyramidal structures [J]. Pattern Recognition, 2001, 34(7): 2005-2013.

[4] Sim D G, Kwon O K, Park R H. Object matching algorithm using robust Hausdorff distance measures [J]. IEEE Trans. Image Process, 1999, 8(2): 425-429.

[5] Borgerfors G. Distance transformations in digital images [J]. CVGIP, 1986, 34(3): 344-371.

[6] Canny J A. Computational approach to edge detection [J]. IEEE Tran PAMI, 1986, 8(6): 679-697.

[in Chinese], [in Chinese]. Object tracking algorithm for Hausdorff distance based on multiresolution[J]. Chinese Journal of Quantum Electronics, 2005, 22(1): 25

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