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Qu and Y. ): IBI 2011, Part II, CCIS 268, pp. 7–14, 2012. © Springer-Verlag Berlin Heidelberg 2012 8 X. Liu also emphasized in the teaching must pay attention to intellectual development of students, develop students' creative thinking, develop self-learning ability to guide students to learn how to learn and master the scientific method, life-long learning and work for the foundation [8]. Detection technique will focus on the traditional teaching model re-light study, the leading role of teachers and students of the dominant position of the gap between serious.

Video Google: A text retrieval approach to object matching in videos. In: ICCV, vol. 2, pp. 1470–1477 (October 2003) 11. : Evaluation of color descriptors for object and scene recognition. In: CVPR, pp. 1–8 (2008) 12. : Local features and kernels for classification of texture and object categories: a comprehensive study. International Journal of Computer Vision 73(2), 213–238 (2007) 13. : The PASCAL visual object classes (VOC) challenge. International Journal of Computer Vision 88(2), 303–338 (2010) 14.

Experiments considering some difficulties such as weather, angle of shooting and distance variation. The method has the advantages that it is computing power and memory efficient and that it can handle pattern repetitions in the models. We applied this method successfully on automatic traffic sign recognition. 099s per image). The mainly cause of recognition failure is because SIFT features maybe wrong When a traffic sign is seriously polluted and the sign cannot be recognized. Future work will make the algorithm more robust and efficent.

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If Fairness is the Problem Is Consent the Solution

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