Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/70300
DC Field | Value | |
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dc.title | Fast detection of frequent change in focus of human attention | |
dc.contributor.author | Hu, N. | |
dc.contributor.author | Huang, W. | |
dc.contributor.author | Ranganath, S. | |
dc.date.accessioned | 2014-06-19T03:10:32Z | |
dc.date.available | 2014-06-19T03:10:32Z | |
dc.date.issued | 2005 | |
dc.identifier.citation | Hu, N.,Huang, W.,Ranganath, S. (2005). Fast detection of frequent change in focus of human attention. Lecture Notes in Computer Science 3368 : 216-230. ScholarBank@NUS Repository. | |
dc.identifier.issn | 03029743 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/70300 | |
dc.description.abstract | We present an algorithm to detect the attentive behavior of persons with frequent change in focus of attention (FCFA) from a static video camera. This behavior can be easily perceived by people as temporal changes of human head pose. Here, we propose to use features extracted by analyzing a similarity matrix of head pose by using a self-similarity measure of the head image sequence. Further, we present a fast algorithm which uses an image vector sequence represented in the principal components subspace instead of the original image sequence to measure the self-similarity. An important feature of the behavior of FCFA is its cyclic pattern where the head pose repeats its position from time to time. A frequency analysis scheme is proposed to find the dynamic characteristics of persons with frequent change of attention or focused attention. A nonparametric classifier is used to classify these two kinds of behaviors (FCFA and focused attention). The fast algorithm discussed in this paper yields real-time performance as well as good accuracy. © Springer-Verlag Berlin Heidelberg 2005. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.sourcetitle | Lecture Notes in Computer Science | |
dc.description.volume | 3368 | |
dc.description.page | 216-230 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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