A TS fuzzy system learned through a support vector machine in principal component space for real-time object detection

IEEE Transactions on Industrial Electronics

Volumn 59, Issue 8, 2012, Pages 3309-3320

  Juang, Chia Feng ^a   Chen, Guo Cyuan ^a  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Color histogram; fuzzy classifiers; fuzzy neural networks; object detection; principal component analysis (PCA); support vector machines (SVMs)

Indexed keywords

COLOR APPEARANCE; COLOR FEATURES; COLOR HISTOGRAM; DETECTION METHODS; FREE PARAMETER VECTORS; FUZZY CLASSIFIERS; GENERALIZATION PERFORMANCE; HISTOGRAM EXTRACTION; IMAGE SCANNING; LINEAR SVM; LOCAL COLOR; OBJECT DETECTION; OBJECT DETECTION SYSTEMS; PRINCIPAL COMPONENT ANALYSIS (PCA); PRINCIPAL COMPONENT SPACE; REAL-TIME IMPLEMENTATIONS; SUPPORT VECTOR MACHINE (SVM); T S FUZZY SYSTEM; TAKAGI SUGENO FUZZY SYSTEMS;

COLOR; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; GRAPHIC METHODS; IMAGE RETRIEVAL; OBJECT RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; REAL TIME CONTROL;

SUPPORT VECTOR MACHINES;

EID: 84859709514     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2011.2159949     Document Type: Article

References (42)

1. A. Kumar, "Computer-vision-based fabric defect detection: A survey, " IEEE Trans. Ind. Electron., vol. 55, no. 1, pp. 348-363, Jan. 2008.
2. M. I. Chacon-Murguia, J. I. Nevarez-Santana, and R. Sandoval-Rodriguez, "Multiblob cosmetic defect description/classification using a fuzzy hierarchical classifier, " IEEE Trans. Ind. Electron., vol. 56, no. 4, pp. 1292-1299, Apr. 2009.
3. R. Lienhart and J. Maydt, "An extended set of Haar-like features for rapid object detection, " in Proc. IEEE Int. Conf. Image Process., 2002, pp. 900-903.
4. Z. Sun, G. Bebis, and R. Miller, "Object detection using feature subset selection, " Pattern Recognit., vol. 37, no. 11, pp. 2165-2176, Nov. 2004. (Pubitemid 40134550)
5. P. Vadakkepat, P. Lim, L. C. De Silva, L. Jing, and L. L. Ling, "Multimodal approach to human-face detection and tracking, " IEEE Trans. Ind. Electron., vol. 55, no. 3, pp. 1385-1393, Mar. 2008. (Pubitemid 351447579)
6. C. F. Juang and S. W. Chang, "Fuzzy system-based real-time face detection and tracking system with a pan-tilt-zoom camera, " Expert Syst. Appl., vol. 37, no. 6, pp. 4526-4536, Jun. 2010.
7. V. V. Vinod and H. Murase, "Focused color intersection with efficient searching for object extraction, " Pattern Recognit., vol. 30, no. 10, pp. 1787-1797, Oct. 1997. (Pubitemid 127420866)
8. B. Bhanu and J. Peng, "Adaptive integrated image segmentation and object recognition, " IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 30, no. 4, pp. 427-441, Nov. 2000. (Pubitemid 32190900)
9. T. Kawanishi, H. Murase, S. Takagi, and M. Werner, "Dynamic active search for quick object detection with pan-tilt-zoom camera, " in Proc. Int. Conf. Image Process., Oct. 2001, vol. 3, pp. 716-719. (Pubitemid 33058087)
10. D. G. Lowe, "Distinctive image features from scale-invariant keypoints, " Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
11. K. Schindler and D. Suter, "Object detection by global contour shape, " Pattern Recognit., vol. 41, no. 12, pp. 3736-3748, Dec. 2008.
12. F. Moreno, J. Alarcon, R. Salvador, and T. Riesgo, "Reconfigurable hardware architecture of a shape recognition system based on specialized tiny neural networks with online train, " IEEE Trans. Ind. Electron., vol. 56, no. 8, pp. 3253-3263, Aug. 2009.
13. T. Sasaki, D. Brscic, and H. Hashimoto, "Human-observation-based extraction of path patterns for mobile robot navigation, " IEEE Trans. Ind. Electron., vol. 57, no. 4, pp. 1401-1410, Apr. 2010.
14. X. Zhang, H. Liu, and X. Li, "Target tracking for mobile robot platforms via object matching and background anti-matching, " Robot. Auton. Syst., vol. 58, no. 11, pp. 1197-1206, Nov. 2010.
15. H.-P. Huang, J.-L. Yan, and T.-H. Cheng, "Development and fuzzy control of a pipe inspection robot, " IEEE Trans. Ind. Electron., vol. 57, no. 3, pp. 1088-1095, Mar. 2010.
16. K. C. Chen and W. H. Tsai, "Vision-based autonomous vehicle guidance for indoor security patrolling by a SIFT-based vehicle-localization technique, " IEEE Trans. Veh. Technol., vol. 59, no. 7, pp. 3261-3271, Sep. 2010.
17. J. S.Wang and C. S. G. Lee, "Self-adaptive neuro-fuzzy inference systems for classification applications, " IEEE Trans. Fuzzy Syst., vol. 10, no. 6, pp. 790-802, Dec. 2002.
18. C. F. Juang and C. M. Chang, "Human body posture classification by neural fuzzy network and its application to home care system, " IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 37, no. 6, pp. 984-994, Nov. 2007.
19. J. H. Chiang and P. Y. Hao, "Support vector learning mechanism for fuzzy rule-based modeling: A new approach, " IEEE Trans. Fuzzy Syst., vol. 12, no. 1, pp. 1-12, Feb. 2004.
20. C. T. Lin, C. M. Yeh, S. F. Liang, J. F. Chung, and N. Kumar, "Supportvector-based fuzzy neural network for pattern classification, " IEEE Trans. Fuzzy Syst., vol. 14, no. 1, pp. 31-41, Feb. 2006. (Pubitemid 43263926)
21. C. F. Juang, S. H. Chiu, and S. J. Shiu, "Fuzzy system learned through fuzzy clustering and support vector machine for human skin color segmentation, " IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 37, no. 6, pp. 1077-1087, Nov. 2007.
22. C. F. Juang, S. H. Chiu, and S. W. Chang, "A self-organizing TS-type fuzzy network with support vector learning and its application to classification problems, " IEEE Trans. Fuzzy Syst., vol. 15, no. 5, pp. 998-1008, Oct. 2007.
23. N. Cristianini and J. Shawe-Taylor, An Introduction to Support VectorMachines and Other Kernel-Based Learning Methods. Cambridge, U.K.: Cambridge Univ. Press, 2000.
24. C. F. Juang and C. T. Lin, "An on-line self-constructing neural fuzzy inference network and its applications, " IEEE Trans. Fuzzy Syst., vol. 6, no. 1, pp. 12-32, Feb. 1998.
25. S. M. Zhou and J. Q. Gan, "Low-level interpretability and high-level interpretability: A unified view of data-driven interpretable fuzzy system modelling, " Fuzzy Sets Syst., vol. 159, no. 23, pp. 3091-3131, Dec. 2008.
26. H. D. Cheng, X. H. Jiang, Y. Sun, and J. Wang, "Color image segmentation: Advances and prospects, " Pattern Recognit., vol. 34, no. 12, pp. 2259-2281, Dec. 2001. (Pubitemid 32961807)
27. J. L. Bentley, "Multidimensional binary search trees used for associative searching, " Commun. ACM, vol. 18, no. 9, pp. 509-517, Sep. 1975.
28. T. Kawanishi, T. Kurozumi, K. Kashino, and S. Takagi, "A fast template matching algorithm with adaptive skipping using inner-subtemplate's distances, " in Proc. IEEE Int. Conf. Pattern Recog., 2004, pp. 654-657.
29. C. F. Juang, W. K. Sun, and G. C. Chen, "Object detection by color histogram-based fuzzy classifier with support vector learning, " Neurocomputing, vol. 72, no. 10-12, pp. 2464-2476, Jun. 2009.
30. R. C. Gonzalez and P. A. Wintz, Digital Image Processing. Reading, MA: Addison-Wesley, 1992.
31. J. S. Jang, "ANFIS: Adaptive-network-based fuzzy inference system, " IEEE Trans. Syst., Man, Cybern., vol. 23, no. 3, pp. 665-685, May 1993.
32. C. F. Juang and Y. W. Tsao, "A self-evolving interval type-2 fuzzy neural network with on-line structure and parameter learning, " IEEE Trans. Fuzzy Syst., vol. 16, no. 6, pp. 1411-1424, Dec. 2008.
33. R. H. Abiyev and O. Kaynak, "Type 2 fuzzy neural structure for identification and control of time-varying plants, " IEEE Trans. Ind. Electron., vol. 57, no. 12, pp. 4147-4159, Dec. 2010.
34. L. Cai, A. B. Rad, and W. L. Chan, "An intelligent longitudinal controller for application in semiautonomous vehicles, " IEEE Trans. Ind. Electron., vol. 57, no. 4, pp. 1487-1497, Apr. 2010.
35. C. Xia, C. Guo, and T. Shi, "A neural-network-identifier and fuzzycontroller-based algorithm for dynamic decoupling control of permanentmagnet spherical motor, " IEEE Trans. Ind. Electron., vol. 57, no. 8, pp. 2868-2878, Aug. 2010.
36. P. Pudil and J. Novovicova, "Novel methods for subset selection with respect to problem knowledge, " IEEE Intell. Syst., vol. 13, no. 2, pp. 66-74, Mar. 1998.
37. I. Guyon and A. Elisseeff, "An introduction to variable and feature selection, " J. Mach. Learn. Res., vol. 3, pp. 1157-1182, 2003.
38. Y. Sun, S. Todorovic, and S. Goodison, "Local-learning-based feature selection for high-dimensional data analysis, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 9, pp. 1610-1626, Sep. 2010.
39. G. Bradski, A. Kaehler, and V. Pisarevsky, "Learning-based computer vision with Intel's open source computer vision library, " Intel Technol. J., vol. 9, no. 2, pp. 119-130, May 2005.
40. Y. Ke and R. Sukthankar, "PCA-SIFT: A more distinctive representation for local image descriptors, " in Proc. Conf. Comput. Vis. Pattern Recog., 2004, pp. 511-517.
41. K. Mikolajczyk and C. Schmid, "A performance evaluation of local descriptors, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 10, pp. 1615-1630, Oct. 2005. (Pubitemid 41555406)
42. M. Begum, F. Karray, G. K. I. Mann, and R. G. Gosine, "A probabilistic model of overt visual attention for cognitive robots, " IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 40, no. 5, pp. 1305-1318, Oct. 2010.