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To solve the problem that individual RGB images are susceptible to background interferencein face recognition systems, a real-time face recognition and tracking solution combining depth images is proposed. Propose a tracking mode combining Hungarian algorithm and HMM algorithm to filter potential interference information. Finally, the robot platform is built. The single-target and multi-target recognition test experiments were carried out in the real scene. The experimental results show that the proposed face recognition scheme has an accuracy of 94.3% for real-time face recognition, 76 ms for head positioning, and an average recognition time of only 761.17 ms.The experimental results show that the method is robust while maintaining good accuracy, and can meet the needs of smart home mobile robot face recognition. [ABSTRACT FROM AUTHOR]

In order to explore impact of the area-road congestion charging about the residents' residential location and transportation modes, the satisfaction assessment model was proposed to assess the residential location, and the household consumption remaining model was established by the satisfaction, household income and house prices. Area-road congestion charging regimes were implemented, and the generalized commuting traffic impedance and generalized holiday entertainment traffic impedance were got by different trip purpose travel chain characteristics and the corresponding travel mode of family members. The residence of the largest family remaining was got by the household consumption remaining model. The results indicate that area-road congestion charging regimes don't affect low-income mobile home residential choice. A lower level congestion charging does not affect high-income mobile home residential choice, and a higher levels congestion charging makes high-income families mobile home residential from the suburbs to charging regional-border, and it has no affect when the charging level is high. On weekdays and holidays, there is an optimum point both the regional congestion charging level, and the holidays charging optimum point is higher, so it is conducive to maximize for economic efficiency and social utility when the best charging point is implemented. [ABSTRACT FROM AUTHOR]