Template Matching Hash Target Tracking Based on Interclass Variance and Discrete Cosine Transform

LI Haibiao; HUAG Shan

doi:10.3969/j.issn.1671-637x.2018.10.010

Journals >Electronics Optics & Control >Volume 25 >Issue 10 >Page 47 > Article

Electronics Optics & Control
Vol. 25, Issue 10, 47 (2018)

Template Matching Hash Target Tracking Based on Interclass Variance and Discrete Cosine Transform

LI Haibiao^1、2 and HUAG Shan^1、3

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2018.10.010 Cite this Article

LI Haibiao, HUAG Shan. Template Matching Hash Target Tracking Based on Interclass Variance and Discrete Cosine Transform[J]. Electronics Optics & Control, 2018, 25(10): 47 Copy Citation Text

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References

[3] YANG B, GU F, NIU X. Block mean value based image perceptual hashing［C］//International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2006:167-172.

[4] FEI M, LI J, SHAO L, et al. Robust visual tracking based on improved perceptual hashing for robot vision［C］//Intelligent Robotics and Applications, 2015:331-340.

[6] BARIS C, BULENT S, NASIR M, et al. Spatio temporal transform based video hashing［J］. IEEE Transactions on Multimedia, 2006, 8(6):1190-1208.

[7] FRID J, GOL M.Robust hash functions for digital watermarking［C］//IEEE Proceedings of the International Conference on Information Technology:Coding and Computing, 2000:178-183.

[9] FEI M, LI J, LIU H H, et al.Visual tracking based on improved foreground detection and perceptual hashing［J］.Neuro Computing, 2015, 152(10):413-428.

[10] WU Y, LIM J W, YANG M H.Object tracking benchmark［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1834-1848.

LI Haibiao, HUAG Shan. Template Matching Hash Target Tracking Based on Interclass Variance and Discrete Cosine Transform[J]. Electronics Optics & Control, 2018, 25(10): 47

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