{"title":"Automatic detection of repetitive actions in a video","authors":"Hassan Wehbe, P. Joly, B. Haidar","doi":"10.1109/CBMI.2015.7153605","DOIUrl":null,"url":null,"abstract":"In this paper we propose a method to locate inloop repetitions in a video. An in-loop repetition consists in repeating the same action(s) many times consecutively. The proposed method adapts and uses the auto-correlation method YIN, originally proposed to find the fundamental frequency in audio signals. Based on this technique, we propose a method that generates a matrix where repetitions correspond to triangle-shaped zones of low values in this matrix (we called YIN-Matrix). Locating these triangles leads to locate video segments that enclose a repetition as well as to extract their parameters. In order to evaluate our method, we used a standard evaluation method that shows the error rates compared to ground-truth information. According to this evaluation method, our method shows promising results that nominate it to form a solid base for future works.","PeriodicalId":387496,"journal":{"name":"2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMI.2015.7153605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper we propose a method to locate inloop repetitions in a video. An in-loop repetition consists in repeating the same action(s) many times consecutively. The proposed method adapts and uses the auto-correlation method YIN, originally proposed to find the fundamental frequency in audio signals. Based on this technique, we propose a method that generates a matrix where repetitions correspond to triangle-shaped zones of low values in this matrix (we called YIN-Matrix). Locating these triangles leads to locate video segments that enclose a repetition as well as to extract their parameters. In order to evaluate our method, we used a standard evaluation method that shows the error rates compared to ground-truth information. According to this evaluation method, our method shows promising results that nominate it to form a solid base for future works.