Local similarity number and its application to object tracking

International Journal of Advanced Robotic Systems

Volumn 10, Issue , 2013, Pages

  Tavakoli, Hamed Rezazadegan ^a   Moin, M Shahram ^b   Heikkilä, Janne ^a  

^a UNIVERSITY OF OULU   (Finland)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Local binary patterns; Mean shift tracking; Saliency

Indexed keywords

LOCAL BINARY PATTERNS; LOCAL SIMILARITY PATTERNS; MEAN-SHIFT TRACKING; SALIENCY; TARGET REPRESENTATION; TEXTURE OPERATORS; TRACKING ALGORITHM; TRACKING TECHNIQUES;

COLOR; PIXELS; TEXTURES;

TARGET TRACKING;

EID: 84878410103     PISSN: 17298806     EISSN: 17298814     Source Type: Journal    
DOI: 10.5772/55337     Document Type: Article

References (18)

1. L. S. Davis, S. A. Johns, and J. K. Aggarwal. Texture analysis using generalized cooccurence matrices. IEEE Trans. Pattern Anal. Mach. Intell., 1:251-259, 1979. (Pubitemid 9472766)
2. L. S. Davis. Polarograms: A new tool for image texture analysis. Pattern Recognition, 13:219-223, 1981.
3. T. Mäenpää, J. Viertola, and M. Pietikäinen. Optimising colour and texture features for real-time visual inspection. 2003. Pattern Analysis and Applications 6(3):169-175. (Pubitemid 38059002)
4. A. Hadid and M. Pietikäinen. Combining appearance and motion for face and gender recognition from videos. Pattern Recognition 42(11):2818-2827, 2009.
5. M. Turtinen, M. Pietikäinen, and O. Silven. Visual characterization of paper using isomap and local binary patterns. 2006. IEICE Transactions on Information and Systems E89D(7):2076-2083. (Pubitemid 44290540)
6. T. Maenpaa. The local binary pattern approach to texture analysis extentions and applications. PhD thesis, Infotech Oulu and Department of Electrical and Information Engineering, University of Oulu, 2003.
7. Marko Heikkilä and Matti Pietikäinen. A texture-based method for modeling background and detecting moving objects. IEEE Trans. Pattern Anal. Mach. Intell., 28(4):431-438, 2006.
8. Timo Ojala, Matti Pietikäinen, and Topi Mäenpää. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell., 24(7):971-987, 2002. (Pubitemid 34835471)
9. Jifeng Ning, Lei Zhang, David Zhang, and Chengke Wu. Robust object tracking using joint color-texture histogram. International Journal of Pattern Recognition and Artificial Intelligence, 23(7):1245-1263, 2009.
10. Kan-Min Chen and Shu-Yuan Chen. Color texture segmentation using feature distributions. Pattern Recognition Letters, 23(7):755 - 771, 2002. (Pubitemid 34409470)
11. Ali Borji and Laurent Itti. State-of-the-art in visual attention modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 99(PrePrints), 2012.
12. L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 20(11):1254-1259, nov. 1998. (Pubitemid 128742001)
13. Dashan Gao, Vijay Mahadevan, and Nuno Vasconcelos. On the plausibility of the discriminant center-surround hypothesis for visual saliency. Journal of Vision, 8(7), 2008.
14. Timo Ojala. Nonparametric texture analysis using spatial operators, with applications in visual inspection. PhD thesis, 1997.
15. Timo Ojala, K. Valkealahti, E. Oja, Matti Pietikäinen, and Z. Xu. Texture discrimination with multi-dimensional distributions of signed gray level differences. Pattern Recognition, 34:727-739, 2001. (Pubitemid 32111570)
16. A. Porebski, N. Vandenbroucke, and L. Macaire. Haralick feature extraction from lbp images for color texture classification. pages 1-8, 2008.
17. D. Commaniciu, V. Ramesh, and P. Meer. Kernel-based object tracking. IEEE Trans. Pattern Anal. Mach. Intell., 25(5):564-575, 2003.
18. Alper Yilmaz, Omar Javed, and Mubarak Shah. Object tracking: A survey. ACM Computing Surveys, 38(14), 2006.