Pengfei Zhao

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This paper presents a novel approach for eye detection using a hierarchy cascade classifier based on Adaboost statistical learning method combined with SVM (Support Vector Machines) post classifier. On the first stage a face detector is used to locate the face in the whole image. After finding the face, an eye detector is used to detect the possible eye(More)
In this paper, we propose a novel feature optimization method to build a cascade Adaboost face detector for real-time applications on cellular phone, such as teleconferencing, user interfaces, and security access control. AdaBoost algorithm selects a set of features and combines them into a final strong classifier. However, conventional AdaBoost is a(More)
A useful method in intelligent engineering, called model reference control MRC, is applied in an economic control problem. The authors review the main framework of MRC and Goodwin growth cycle GGC model between two countries and drive the employment rate to be approximate stable in a high level by controlling the workers' share in the national income(More)
Copyright q 2012 Pengfei Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. We have applied a famous engineering method, called model reference control, to control hyperchaos. We have(More)
The global fast terminal sliding mode control(GFTSMC) method for the 2-DOF manipulator is used to track its trajectory. the dynamics of 2-DOF manipulator is nonlinear and strongly coupled. GFTSMC combines the advantages of traditional sliding mode control and terminal sliding mode control in the sliding phase, and it also uses the concept of rapid arrival(More)
To accurately and actively provide users with their potentially interested information or services is the main task of a recommender system. Collaborative filtering is one of the most widely adopted recommender methods, whereas it is suffering the issue of sparse rating data that will severely degenerate the quality of recommendations. To address this(More)
The calibration and validation of pedestrian simulations require the acquisition of empirical evi-dences of human behaviour. The current work presents the results of an experiment focused on the potentially combined effect of counter flow and grouping on pedestrian dynamics. In particular, we focused on: (i) four different configurations of flow ratio (the(More)