Sparse hashing tracking

IEEE Transactions on Image Processing

Volumn 25, Issue 2, 2016, Pages 840-849

  Zhang, Lihe ^a   Lu, Huchuan ^a   Du, Dandan ^a   Liu, Luning ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Feature selection; Hash functions; Object tracking; Part based

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; HAMMING DISTANCE; HASH FUNCTIONS; NEAREST NEIGHBOR SEARCH; TRACKING (POSITION);

COEFFICIENT VECTOR; DISTANCE CALCULATION; DYNAMIC FEATURE SELECTIONS; INTERCLASS CORRELATION; OBJECT TRACKING; PART BASED; STATE-OF-THE-ART METHODS; TRACKING PROCESS;

TARGET TRACKING;

EID: 85009435141     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2015.2509244     Document Type: Article

References (42)

1. D. A. Ross, J. Lim, R.-S. Lin, and M.-H. Yang, "Incremental learning for robust visual tracking, " Int. J. Comput. Vis., vol. 77, nos. 1-3, pp. 125-141, 2008.
2. S. Hare, A. Saffari, and P. H. S. Torr, "Struck: Structured output tracking with kernels, " in Proc. IEEE Int. Conf. Comput. Vis. (ICCV), Barcelona, Spain, Nov. 2011, pp. 263-270.
3. B. Zhuang, H. Lu, Z. Xiao, and D. Wang, "Visual tracking via discriminative sparse similarity map, " IEEE Trans. Image Process., vol. 23, no. 4, pp. 1872-1881, Apr. 2014.
4. D. Wang, H. Lu, and C. Bo, "Fast and robust object tracking via probability continuous outlier model, " IEEE Trans. Image Process., vol. 24, no. 12, pp. 5166-5176, Dec. 2015.
5. X. Jia, H. Lu, and M.-H. Yang, "Visual tracking via adaptive structural local sparse appearance model, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, Jun. 2012, pp. 1822-1829.
6. F. Yang, H. Lu, and M.-H. Yang, "Robust superpixel tracking, " IEEE Trans. Image Process., vol. 23, no. 4, pp. 1639-1651, Apr. 2014.
7. D. Wang, H. Lu, Z. Xiao, and M.-H. Yang, "Inverse sparse tracker with a locally weighted distance metric, " IEEE Trans. Image Process., vol. 24, no. 9, pp. 2646-2657, Sep. 2015.
8. Y. Li, J. Zhu, and S. C. H. Hoi, "Reliable patch trackers: Robust visual tracking by exploiting reliable patches, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Boston, MA, USA, Jun. 2015, pp. 353-361.
9. W. Zhong, H. Lu, and M.-H. Yang, "Robust object tracking via sparsity-based collaborative model, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, Jun. 2012, pp. 1838-1845.
10. R. Yao, Q. Shi, C. Shen, Y. Zhang, and A. van den Hengel, "Part-based visual tracking with online latent structural learning, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Portland, OR, USA, Jun. 2013, pp. 2363-2370.
11. Y. Lu, T. Wu, and S.-C. Zhu, "Online object tracking, learning, and parsing with and-or graphs, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Columbus, OH, USA, Jun. 2014, pp. 3462-3469.
12. K. Briechle and U. D. Hanebeck, "Template matching using fast normalized cross correlation, " Proc. SPIE, vol. 4387, p. 95, Mar. 2001.
13. X. Mei and H. Ling, "Robust visual tracking using ¿1 minimization, " in Proc. IEEE 12th Int. Conf. Comput. Vis. (ICCV), Kyoto, Japan, Sep./Oct. 2009, pp. 1436-1443.
14. W. Zhong, H. Lu, and M.-H. Yang, "Robust object tracking via sparse collaborative appearance model, " IEEE Trans. Image Process., vol. 23, no. 5, pp. 2356-2368, May 2014.
15. K. Zhang, L. Zhang, and M. Yang, "Fast compressive tracking, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, no. 10, pp. 2002-2015, Oct. 2014.
16. H. Song, "Robust visual tracking via online informative feature selection, " Electron. Lett., vol. 50, no. 25, pp. 1931-1933, Dec. 2014.
17. B. Kulis and K. Grauman, "Kernelized locality-sensitive hashing, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 6, pp. 1092-1104, Jun. 2012.
18. W. Liu, J. Wang, R. Ji, Y.-G. Jiang, and S.-F. Chang, "Supervised hashing with kernels, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, Jun. 2012, pp. 2074-2081.
19. M. Datar, N. Immorlica, P. Indyk, and V. S. Mirrokni, "Locality-sensitive hashing scheme based on p-stable distributions, " in Proc. 20th ACM Symp. Comput. Geometry, New York, NY, USA, Jun. 2004, pp. 253-262.
20. P. Indyk and R. Motwani, "Approximate nearest neighbors: Towards removing the curse of dimensionality, " in Proc. 13th Annu. ACM Symp. Theory Comput., Dallas, TX, USA, May 1998, pp. 604-613.
21. Y. Weiss, A. Torralba, and R. Fergus, "Spectral hashing, " in Proc. 22nd Annu. Conf. Neural Inf. Process. Syst., Vancouver, BC, Canada, Dec. 2008, pp. 1753-1760.
22. H. Xu, J. Wang, Z. Li, G. Zeng, S. Li, and N. Yu, "Complementary hashing for approximate nearest neighbor search, " in Proc. IEEE Int. Conf. Comput. Vis. (ICCV), Barcelona, Spain, Nov. 2011, pp. 1631-1638.
23. Z. Jin et al., "Complementary projection hashing, " in Proc. IEEE Int. Conf. Comput. Vis. (ICCV), Sydney, NSW, Australia, Dec. 2013, pp. 257-264.
24. G. Lin, C. Shen, Q. Shi, A. van den Hengel, and D. Suter, "Fast supervised hashing with decision trees for high-dimensional data, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Columbus, OH, USA, Jun. 2014, pp. 1971-1978.
25. J. Wang, S. Kumar, and S.-F. Chang, "Semi-supervised hashing for scalable image retrieval, " in Proc. 23rd IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), San Francisco, CA, USA, Jun. 2010, pp. 3424-3431.
26. X. Li, C. Shen, A. R. Dick, and A. van den Hengel, "Learning compact binary codes for visual tracking, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Portland, OR, USA, Jun. 2013, pp. 2419-2426.
27. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 711-720, Jul. 1997.
28. A. Vedaldi and B. Fulkerson, "VLFeat: An open and portable library of computer vision algorithms, " in Proc. 18th ACM Int. Conf. Multimedia, 2010, pp. 1469-1472.
29. J. Yang, W. Yin, Y. Zhang, and Y. Wang, "A fast algorithm for edge-preserving variational multichannel image restoration, " SIAM J. Imag. Sci., vol. 2, no. 2, pp. 569-592, 2009.
30. G. Liu, Z. Lin, S. Yan, J. Sun, Y. Yu, and Y. Ma, "Robust recovery of subspace structures by low-rank representation, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 1, pp. 171-184, Jan. 2013.
31. Z. Lin, M. Chen, and Y. Ma. (2010). "The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices." [Online]. Available: http://arxiv.org/abs/1009.5055
32. Y. Zhang, "Numerical methods for continuous optimization, " in Proc. IPAM Workshop UCLA Los Angeles, Oct. 2010.
33. A. Adam, E. Rivlin, and I. Shimshoni, "Robust fragments-based tracking using the integral histogram, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), New York, NY, USA, Jun. 2006, pp. 798-805.
34. B. Babenko, M. Yang, and S. J. Belongie, "Visual tracking with online multiple instance learning, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Miami, FL, USA, Jun. 2009, pp. 983-990.
35. C. Bao, Y. Wu, H. Ling, and H. Ji, "Real time robust L1 tracker using accelerated proximal gradient approach, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, Jun. 2012, pp. 1830-1837.
36. Z. Kalal, K. Mikolajczyk, and J. Matas, "Tracking-learning-detection, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 7, pp. 1409-1422, Jul. 2012.
37. J. Kwon and K. M. Lee, "Visual tracking decomposition, " in Proc. 23rd IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), San Francisco, CA, USA, Jun. 2010, pp. 1269-1276.
38. K. Zhang, L. Zhang, and M.-H. Yang, "Real-time compressive tracking, " in Proc. 12th Eur. Conf. Comput. Vis., Florence, Italy, Oct. 2012, pp. 864-877.
39. T. Zhang, B. Ghanem, S. Liu, and N. Ahuja, "Robust visual tracking via multi-task sparse learning, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, Jun. 2012, pp. 2042-2049.
40. J. F. Henriques, R. Caseiro, P. Martins, and J. Batista, "High-speed tracking with kernelized correlation filters, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 37, no. 3, pp. 583-596, Mar. 2015.
41. J. Gao, H. Ling, W. Hu, and J. Xing, "Transfer learning based visual tracking with Gaussian processes regression, " in Proc. 13th ECCV, Zurich, Switzerland, Sep. 2014, pp. 188-203.
42. T. Zhang, S. Liu, N. Ahuja, M.-H. Yang, and B. Ghanem, "Robust visual tracking via consistent low-rank sparse learning, " Int. J. Comput. Vis., vol. 111, no. 2, pp. 171-190, 2015.