Robust online object tracking based on feature grouping and 2dpca

Mathematical Problems in Engineering

Volumn 2013, Issue , 2013, Pages

  Jiang, Ming Xin ^a   Zhang, Jun Xing ^a   Li, Min ^a  

^a DALIAN NATIONALITIES UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

INCREMENTAL SUBSPACE LEARNING; ITERATIVE ALGORITHM; MAXIMUM A POSTERIORI PROBABILITY ESTIMATIONS (MAP); ONLINE OBJECT TRACKING; QUANTITATIVE EVALUATION; STATE-OF-THE-ART METHODS; TRACKING ALGORITHM; TWO DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS (2DPCA);

ALGORITHMS; IMAGE PROCESSING; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DISTRIBUTIONS;

TRACKING (POSITION);

EID: 84886655941     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2013/352634     Document Type: Review

References (18)

1. Yilmaz A., Javed O., Shah M., Object tracking: a survey. ACM Computing Surveys 2006 38 4 229 240 2-s2.0-33846013241 10.1145/1177352.1177355 (Pubitemid 46041487)
2. Jiang M. X., Shao Z. J., Wang H. Y., Real-time object tracking algorithm with cameras mounted on moving platforms. International Journal of Image and Graphics 2012 12 12 MR2982083 1250020 10.1142/S0219467812500209
3. Kristan M. X., Kovačič S., Leonardis A., Perš J., A two-stage dynamic model for visual tracking. IEEE Transactions on Systems, Man, and Cybernetics B 2010 40 6 1505 1520 2-s2.0-78649937337 10.1109/TSMCB.2010. 2041662
4. Jiang M. X., Li M., Wang H. Y., A robust combined algorithim of object tracking based on moving object detection. Proceedings of the International Conference on Intelligent Control and Information Processing (ICICIP '10) August 2010 Dalian, China 619 622 2-s2.0-78649265008 10.1109/ICICIP.2010.5564172
5. Su F., Fang G., Kwok N. M., Adaptive colour feature identification in image for object tracking. Mathematical Problems in Engineering 2012 2012 18 10.1155/2012/509597 509597
6. Han P., Du J., Fang M., Spatial object tracking using an enhanced mean shift method based on perceptual spatial-space generation model. Journal of Applied Mathematics 2013 2013 13 10.1155/2013/420286 420286
7. Sarhan A. M., Saleh A. I., Elsadek R. K., A reliable event-driven strategy for real-time multiple object tracking using static cameras. Advances in Multimedia 2011 2011 20 2-s2.0-80052687218 10.1155/2011/976463 976463
8. Yin J. H., Fu C. Y., Hu J. K., Using incremental subspace and contour template for object tracking. Journal of Network and Computer Applications 2012 35 1740 1748 10.1016/j.jnca.2012.06.005
9. Avidan S., Support vector tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 2004 26 8 1064 1072 2-s2.0-3242681758 10.1109/TPAMI.2004.53
10. Williams O., Blake A., Cipolla R., A sparse probabilistic learning algorithm for real-time tracking. Proceedings of the 8th IEEE International Conference on Computer Vision October 2003 353 360 2-s2.0-0344982891
11. Han Z. J., Jiao J. B., Zhang B. C., Ye Q. X., Liu J. Z., Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR). Pattern Recognition 2011 44 9 2170 2183 2-s2.0-79957445890 10.1016/j.patcog.2011.03.002
12. Mei X., Ling H., Robust visual tracking and vehicle classification via sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 2011 33 11 2259 2272 2-s2.0-80053126093 10.1109/TPAMI.2011.66
13. Wang D., Lu H., Li X., Two dimensional principal components of natural images and its application. Neurocomputing 2011 74 17 2745 2753 2-s2.0-80052933630 10.1016/j.neucom.2011.03.047
14. Ross D. A., Lim J., Lin R., Yang M., Incremental learning for robust visual tracking. International Journal of Computer Vision 2008 77 1-3 125 141 2-s2.0-39749173057 10.1007/s11263-007-0075-7 (Pubitemid 351294740)
15. Kalal Z., Matas J., Mikolajczyk K., P-N learning: bootstrapping binary classifiers by structural constraints. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '10) June 2010 San Francisco, Calif, USA 49 56 2-s2.0-77956005443 10.1109/CVPR.2010.5540231
16. Kwon J., Lee K. M., Visual tracking decomposition. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '10) June 2010 San Francisco, Calif, USA 1269 1276 2-s2.0-77955995205 10.1109/CVPR.2010.5539821
17. Babenko B., Belongie S., Yang M., Visual tracking with online multiple instance learning. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops '09) June 2009 Miami Beach, Fla, USA 983 990 2-s2.0-70450188146 10.1109/CVPRW.2009.5206737
18. Adam A., Rivlin E., Shimshoni I., Robust fragments-based tracking using the integral histogram. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '06) June 2006 New York, NY, USA 798 805 2-s2.0-33845596140 10.1109/CVPR.2006.256