DocumentCode :
3088623
Title :
Automatic detection of repetitive actions in a video
Author :
Wehbe, Hassan ; Joly, Philippe ; Haidar, Bassem
Author_Institution :
IRIT - Inst. de Rech. en Inf. de Toulouse, Univ. Paul Sabatier, Toulouse, France
fYear :
2015
fDate :
10-12 June 2015
Firstpage :
1
Lastpage :
6
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.
Keywords :
audio signal processing; error statistics; matrix algebra; video signal processing; YIN-matrix; audio signal; auto-correlation method; automatic detection; error rate; ground-truth information; inloop repetition; repetitive action; video segment; Cameras; Data mining; Error analysis; Maintenance engineering; Shape; Streaming media; Synchronization; Repetition detection; video analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Content-Based Multimedia Indexing (CBMI), 2015 13th International Workshop on
Conference_Location :
Prague
Type :
conf
DOI :
10.1109/CBMI.2015.7153605
Filename :
7153605
Link To Document :
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