The paper analyzes the shortage of QT font interface compared with embedded system. For the open source QT version, the paper designs a self-defining and multi-language lattice font which not only has fast performance of QPF lattice font and multilanguage support of TTF vector font, but also has multiple features and supports extracting multinational language font with different styles which are to be stored in the same font. The font realizes seamless integration with QT, and the font is applicable to multilanguage application and development of embedded interactive interface based on QT.
Abstract:Traditional target tracking methods are easy to lose the target in complex background, especially tracking multiple targets. In this paper PSO(Particle Swarm Optimization)algorithm is presented, it is used to calculate the weights of features. and weight the features to get optimal feature, then apply the optimal feature to Meanshift. And, combine the adjustable window algorithm with Meanshift to adapt to the change of the target scale. The experiments' results show that the proposed algorithm has improved the robustness and accuracy than the traditional tracking algorithm in complex background and with multi-target.
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