FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4296345587> ?p ?o ?g. }

• W4296345587 abstract "<sec> <title>BACKGROUND</title> 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. The experimental results show that, 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. </sec> <sec> <title>OBJECTIVE</title> 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. </sec> <sec> <title>METHODS</title> 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. </sec> <sec> <title>RESULTS</title> The experimental results show that, 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 wIt 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. atching while walking was 89.06%. In the statistics of the proportion of viewing time, the average statistical error was 3.9%. </sec> <sec> <title>CONCLUSIONS</title> 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. </sec>" @default.
• W4296345587 created "2022-09-20" @default.
• W4296345587 creator A5022170827 @default.
• W4296345587 creator A5082216421 @default.
• W4296345587 date "2022-09-13" @default.
• W4296345587 modified "2023-09-29" @default.
• W4296345587 title "Influence of Body Movements of Sports Model on the Advertising Effect of Sports Clothing Print Network in the Internet Context (Preprint)" @default.
• W4296345587 cites W2750696944 @default.
• W4296345587 cites W2752737288 @default.
• W4296345587 cites W2887010986 @default.
• W4296345587 cites W2913774789 @default.
• W4296345587 cites W2944727265 @default.
• W4296345587 cites W3114627547 @default.
• W4296345587 cites W4285559349 @default.
• W4296345587 doi "https://doi.org/10.2196/preprints.42668" @default.
• W4296345587 hasPublicationYear "2022" @default.
• W4296345587 type Work @default.
• W4296345587 citedByCount "0" @default.
• W4296345587 crossrefType "posted-content" @default.
• W4296345587 hasAuthorship W4296345587A5022170827 @default.
• W4296345587 hasAuthorship W4296345587A5082216421 @default.
• W4296345587 hasLocation W42963455871 @default.
• W4296345587 hasOpenAccess W4296345587 @default.
• W4296345587 hasPrimaryLocation W42963455871 @default.
• W4296345587 hasRelatedWork W1512024971 @default.
• W4296345587 hasRelatedWork W2355862304 @default.
• W4296345587 hasRelatedWork W2379418341 @default.
• W4296345587 hasRelatedWork W2430171369 @default.
• W4296345587 hasRelatedWork W2630879316 @default.
• W4296345587 hasRelatedWork W2748952813 @default.
• W4296345587 hasRelatedWork W2950362168 @default.
• W4296345587 hasRelatedWork W3036770296 @default.
• W4296345587 hasRelatedWork W799990845 @default.
• W4296345587 hasRelatedWork W3041702345 @default.
• W4296345587 isParatext "false" @default.
• W4296345587 isRetracted "false" @default.
• W4296345587 workType "article" @default.