Compressive Tracking for Extracting Target Invariant Moments

YANG Shuangxiang; HUANG Shan

doi:10.3969/j.issn.1671-637x.2018.07.011

Journals >Electronics Optics & Control >Volume 25 >Issue 7 >Page 54 > Article

Electronics Optics & Control
Vol. 25, Issue 7, 54 (2018)

Compressive Tracking for Extracting Target Invariant Moments

YANG Shuangxiang and HUANG Shan

Author Affiliations

[in Chinese]

show less

DOI: 10.3969/j.issn.1671-637x.2018.07.011 Cite this Article

YANG Shuangxiang, HUANG Shan. Compressive Tracking for Extracting Target Invariant Moments[J]. Electronics Optics & Control, 2018, 25(7): 54 Copy Citation Text

show less

References

[1] DONOHO D L. Compressed sensing［J］.IEEE Transactions on Information Theory, 2006, 52(4):1289-1306.

[2] ZHANG K, ZHANG L, YANG M H. Real-time compressive tracking［C］//European Conference on Computer Vision, Florence, 2012:864-877.

[5] ZHUANG J. Compressive tracking based on HOG and extended haar-like feature［C］//IEEE International Confe-rence on Computer and Communications, 2017: 326-331.

[6] ACHLIOPTAS D. Database-friendly random projections: Johnson-Lindenstrauss with binary coins［J］. Journal of Computer & System Sciences, 2003, 66(4):671-687.

[7] DIACONIS P, FREEDMAN D. Asymptotics of graphical projection pursuit［J］.Annals of Statistics, 1984, 12(3):793-815.

[8] HU M K. Visual pattern recognition by moment invariants IT-80［J］.IRE Transaction of Information Theory, 1962, 8(2):179-187.

YANG Shuangxiang, HUANG Shan. Compressive Tracking for Extracting Target Invariant Moments[J]. Electronics Optics & Control, 2018, 25(7): 54

Download Citation

Tools

Save the article for my favorites

Paper Information