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- W1906071475 abstract "Face indexing is a very popular research topic and it has been investigated over the last 10 years. It can be used for a wide range of applications such as automatic video content analysis, data mining, video annotation and labeling, etc. In this work a fully automated framework that can detect how many people are present in a generic video (even having low resolution and/or taken from a mobile camera) is presented. It also extracts the intervals of frames in which each person appears. The main contributions of the proposed work are that no initializations neither a priory knowledge about the scene contents are required. Moreover, this approach introduces a generalized version of the k-means" @default.
- W1906071475 created "2016-06-24" @default.
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- W1906071475 date "2014-01-01" @default.
- W1906071475 modified "2023-09-22" @default.
- W1906071475 title "A Complete Framework for Fully-automatic People Indexing in Generic Videos" @default.
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- W1906071475 doi "https://doi.org/10.5220/0004653502480255" @default.
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