Abstract

In the field of vision, applying accurate- time tracking technology in sequence images is of excellent use value to many fields, for example. It has broad prospects for development in alcohol and tobacco, passenger flow statistics, traffic surveillance, etc. In this paper, a Visual tracking simulation is carried out on corresponding detection, extraction, recognition and tracking of the moving target in an image sequence to obtain the moving parameters and trajectory. The tracked moving object performs further processing and analysis accordingly and provides a reliable database for the next more advanced task. Therefore, visual tracking plays an important role in the localization analysis of moving objects in the military, work, scientific research, intelligent transportation and other fields. The computer has undergone four development stages and made a qualitative leap from hardware to software. Stock price fluctuation represents current market trends and corporate development that can be used to determine whether to sell or acquire stocks. A stock market estimate is one of the most complex and vital duties because of the nonlinear or dynamic nature of the market. Therefore, according to the requirements of target tracking in video, a particle filter algorithm is selected to optimize the technology and is addressed for efficient outcomes through simulation. The news, blogs, sentiment analysis, and other media are connected to this relationship between supply and demand. Sentiment analysis stock market forecast focused on the stock market’s autonomous performance.

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