Fast visual tracking via dense spatio-temporal context learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8693 LNCS, Issue PART 5, 2014, Pages 127-141

  Zhang, Kaihua ^a   Zhang, Lei ^b   Liu, Qingshan ^a   Zhang, David ^b   Yang, Ming Hsuan ^c  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c Embedded Systems and Automation Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FAST FOURIER TRANSFORMS; MATLAB;

BAYESIAN FRAMEWORKS; FRAMES PER SECONDS; LOW-LEVEL FEATURES; PRIOR INFORMATION; SPATIO-TEMPORAL RELATIONSHIPS; STATE-OF-THE-ART METHODS; STATISTICAL CORRELATION; SURROUNDING REGIONS;

TARGET TRACKING;

EID: 84906482212     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10602-1_9     Document Type: Conference Paper

References (31)

1. Adam, A., Rivlin, E., Shimshoni, I.: Robust fragments-based tracking using the integral histogram. In: CVPR, pp. 798-805 (2006)
2. Babenko, B., Yang, M.-H., Belongie, S.: Robust object tracking with online multiple instance learning. PAMI 33(8), 1619-1632 (2011)
3. Belongie, S., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. PAMI 24(4), 509-522 (2002)
4. Bolme, D.S., Beveridge, J.R., Draper, B.A., Lui, Y.M.: Visual object tracking using adaptive correlation filters. In: CVPR, pp. 2544-2550 (2010)
5. Bolme, D.S., Draper, B.A., Beveridge, J.R.: Average of synthetic exact filters. In: CVPR, pp. 2105-2112 (2009)
6. Cehovin, L., Kristan, M., Leonardis, A.: Robust visual tracking using an adaptive coupledlayer visual model. PAMI 35(4), 941-953 (2013)
7. Collins, R.T.: Mean-shift blob tracking through scale space. In: CVPR, vol. 2, pp. II-234 (2003)
8. Collins, R.T., Liu, Y., Leordeanu, M.: Online selection of discriminative tracking features. PAMI 27(10), 1631-1643 (2005)
9. Dinh, T.B., Vo, N., Medioni, G.: Context tracker: Exploring supporters and distracters in unconstrained environments. In: CVPR, pp. 1177-1184 (2011)
10. Divvala, S.K., Hoiem, D., Hays, J.H., Efros, A.A., Hebert, M.: An empirical study of context in object detection. In: CVPR, pp. 1271-1278 (2009)
11. Grabner, H., Grabner, M., Bischof, H.: Real-time tracking via on-line boosting. In: BMVC, pp. 47-56 (2006)
12. Grabner, H., Leistner, C., Bischof, H.: Semi-supervised on-line boosting for robust tracking. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 234-247. Springer, Heidelberg (2008)
13. Grabner, H., Matas, J., Van Gool, L., Cattin, P.: Tracking the invisible: Learning where the object might be. In: CVPR, pp. 1285-1292 (2010)
14. Hare, S., Saffari, A., Torr, P.H.: Struck: Structured output tracking with kernels. In: ICCV, pp. 263-270 (2011)
15. Henriques, J.F., Caseiro, R., Martins, P., Batista, J.: Exploiting the circulant structure of tracking-by-detection with kernels. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part IV. LNCS, vol. 7575, pp. 702-715. Springer, Heidelberg (2012)
16. Kalal, Z., Matas, J., Mikolajczyk, K.: Pn learning: Bootstrapping binary classifiers by structural constraints. In: CVPR, pp. 49-56 (2010)
17. Kwon, J., Lee, K.M.: Visual tracking decomposition. In: CVPR, pp. 1269-1276 (2010)
18. Kwon, J., Lee, K.M.: Tracking by sampling trackers. In: ICCV, pp. 1195-1202 (2011)
19. Mei, X., Ling, H.: Robust visual tracking and vehicle classification via sparse representation. PAMI 33(11), 2259-2272 (2011)
20. Oppenheim, A.V., Willsky, A.S., Nawab, S.H.: Signals and systems, vol. 2. Prentice-Hall, Englewood Cliffs (1983)
21. Oron, S., Bar-Hillel, A., Levi, D., Avidan, S.: Locally orderless tracking. In: CVPR, pp. 1940-1947 (2012)
22. Ross, D.A., Lim, J., Lin, R.S., Yang, M.-H.: Incremental learning for robust visual tracking. IJCV 77(1), 125-141 (2008)
23. Sevilla-Lara, L., Learned-Miller, E.: Distribution fields for tracking. In: CVPR, pp. 1910-1917 (2012)
24. Torralba, A.: Contextual priming for object detection. IJCV 53(2), 169-191 (2003)
25. Wen, L., Cai, Z., Lei, Z., Yi, D., Li, S.Z.: Online spatio-temporal structural context learning for visual tracking. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part IV. LNCS, vol. 7575, pp. 716-729. Springer, Heidelberg (2012)
26. Wolf, L., Bileschi, S.: A critical view of context. IJCV 69(2), 251-261 (2006)
27. Yang, M., Wu, Y., Hua, G.: Context-aware visual tracking. PAMI 31(7), 1195-1209 (2009)
28. Yang, M., Yuan, J., Wu, Y.: Spatial selection for attentional visual tracking. In: CVPR, pp. 1-8 (2007)
29. Yilmaz, A., Javed, O., Shah, M.: Object tracking: A survey. ACM Computing Surveys 38(4) (2006)
30. Zhang, K., Zhang, L., Yang, M.-H.: Real-time compressive tracking. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part III. LNCS, vol. 7574, pp. 864-877. Springer, Heidelberg (2012)
31. Zhang, T., Ghanem, B., Liu, S., Ahuja, N.: Robust visual tracking via multi-task sparse learning. In: CVPR, pp. 2042-2049 (2012)