Title:	Micro-expression detection using integral projections
Authors:	Lu, Hua Kpalma, Kidiyo Ronsin, Joseph
Citation:	Journal of WSCG. 2017, vol. 25, no. 2, p. 87-96.
Issue Date:	2017
Publisher:	Václav Skala - UNION Agency
Document type:	článek article
URI:	wscg.zcu.cz/WSCG2017/!_2017_Journal_WSCG-No-2.pdf http://hdl.handle.net/11025/26286
ISSN:	1213-6972 (print) 1213-6980 (CD-ROM) 1213-6964 (on-line)
Keywords:	detekce mikrovýrazu;integrální projekce;chi-kvadrátová vzdálenost
Keywords in different language:	micro-expression detection;integral projection;chi-squared distance
Abstract in different language:	Automatic detection of micro-expression from a video is the first step in the micro-expression analysis. In this paper, we present a method addressing the micro-expression detection problem based on the differences in the Integral Projection (IP) of sequential frames. The method can detect the temporal location of the micro-expression. It involves an observation of the Chi-squared distance of the IP to measure the difference between frames. The main advantage of using IP for micro-expression detection is its low computation cost, which brings an important merit in real-time application. To evaluate our method, experiments are completed on two micro-expression databases namely CASME and CASME II. Results on these two datasets show that the proposed method obtains positive promising results with much less computation time against state-of-the-art methods.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	Volume 25, Number 2 (2017)

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