{"title":"Motion Detection Using the Dynamic Color Texture","authors":"I. Bellamine, H. Silkan, A. Tmiri","doi":"10.1145/3386723.3387825","DOIUrl":null,"url":null,"abstract":"Color interest point detection is an important research area in the field of image processing and computer vision. In general, the use of color increases the distinctiveness of interest points. In this article we propose to extend the detection of the color interest point to the temporal aspect. For color sequences, we propose an extension version of the Color interest point detector to detect what they call \"Color Space- Time Interest Points detector\" (CSTIP). To increase the robustness of CSTIP features extraction, we suggest a pre-processing step which is based on a dynamic decomposition model and can decomposes the video into the dynamic color texture component and the dynamic color structure component. We compute the new Color Space Time Interest Points (CSTIP) associated to the dynamic color texture (DCT) components by using the proposed algorithm of the detection of Color Space- Time Interest Points. Experimental results are obtained from very different types of videos, namely sport videos and animation movies.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"139 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3386723.3387825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Color interest point detection is an important research area in the field of image processing and computer vision. In general, the use of color increases the distinctiveness of interest points. In this article we propose to extend the detection of the color interest point to the temporal aspect. For color sequences, we propose an extension version of the Color interest point detector to detect what they call "Color Space- Time Interest Points detector" (CSTIP). To increase the robustness of CSTIP features extraction, we suggest a pre-processing step which is based on a dynamic decomposition model and can decomposes the video into the dynamic color texture component and the dynamic color structure component. We compute the new Color Space Time Interest Points (CSTIP) associated to the dynamic color texture (DCT) components by using the proposed algorithm of the detection of Color Space- Time Interest Points. Experimental results are obtained from very different types of videos, namely sport videos and animation movies.