Optimization of the Index System of the Sports Social Organization Development Ability Relying on Image Optimization, Recognition, and Simulation

Abstract

Sports social organizations refer to nonprofit, nongovernmental, and group organizations that achieve specific service goals and common aspirations and spontaneously form various sports and fitness activities in accordance with the rules. This article aims to study how to optimize the index system of the capacity developments by relying on image optimization and recognition simulation. This article puts forward the relevant theoretical knowledge of image optimization and recognition and capacity developments and proposes two algorithms based on image optimization and recognition. In 2019, the percentage of growth of sports social organizations rose from 6.7% to the final 27%; in 2020, the growth rate of sports social organizations is getting higher and higher, from 9% at the beginning to 34% at the end. It can be seen that people’s love for sports activities is getting higher and higher, and the state is paying more and more attention to sports social organizations. The factors that affect the development ability of sports social organizations include the quality, education, and management capabilities of the members of the organization, and the country and the government should also take corresponding measures. The improvement of the development ability of sports social organizations is of great significance to the development of sports social organizations.

The Application and Development Trend of Youth Sports Simulation Based on Computer Vision

“…It can also be written After the optical flow field is determined, the random noise and other small interference factors are removed, and the motion vector is always consistent on an object within a certain time range so that the motion parameters of the moving target at each time include speed and direction. Optical flow field-based motion target detection can calculate the target speed, but it is difficult to achieve in real time due to the long count time of the iteration operation [13]. As seen in Figure 4, a uniform cylinder rotates around its base axis, the camera is constant, the cylindrical image does not change over time, and the optical flux does not move to the surface of the material.…”