Influence of body movements of sports model on the advertising effect of sports clothing print network in the internet context

Model gesture performance is one of the basic means of expression of fashionable clothing. The requirements of all walks of life have gradually increased to a high level of unity of spirit, form and emotion, which poses a higher level of challenge to the professional level and creative level of brand planners, advertising creative personnel, models and other related practitioners. This article takes the physical performance of sports models as the starting point. Considering the complexity of the background in crowd scenes, this paper proposes to combine the background subtraction algorithm with the pedestrian detection technology. The background subtraction algorithm is used to provide a target area for pedestrian detection, thereby effectively narrowing the search range and improving the detection rate. The removal of the background can effectively reduce the occurrence of false alarms and false detections in the detection process, thereby improving the detection accuracy. The relevant parameters required for advertisement evaluation can be counted, such as traffic flow, number of advertisement viewers, viewing time, viewing mode, etc. Therefore, the research on the influence of sports model body movements and clothing print network advertising effects needs to be focused on. According to experimental results, by placing sports clothing print online advertisements on the big screen, pedestrians were divided into two viewing modes, and the pedestrian viewing ratio was 88.82%. Among them, the proportion of watching while standing was 96.68%, and the proportion of watching while walking was 89.06%. In the statistics of the proportion of viewing time, the average statistical error was 3.9%. It shows that the system can effectively obtain the relevant experimental parameters in the actual detection, and make a scientific and reasonable evaluation of the advertising effect.