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Face detection and clustering for video indexing applications
Czirjék, Csaba; O'Connor, Noel E.; Marlow, Seán; Murphy, Noel
This paper describes a method for automatically detecting human faces in generic video sequences. We employ an iterative algorithm in order to give a confidence measure for the presence or absence of faces within video shots. Skin colour filtering is carried out on a selected number of frames per video shot, followed by the application of shape and size heuristics. Finally, the remaining candidate regions are normalized and projected into an eigenspace, the reconstruction error being the measure of confidence for presence/absence of face. Following this, the confidence score for the entire video shot is calculated. In order to cluster extracted faces into a set of face classes, we employ an incremental procedure using a PCA-based dissimilarity measure in con-junction with spatio-temporal correlation. Experiments were carried out on a representative broadcast news test corpus.
Keyword(s): Digital video; Information retrieval
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Czirjék, Csaba, O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <>, Marlow, Seán and Murphy, Noel (2003) Face detection and clustering for video indexing applications. In: ACIVS 2003 - Advanced Concepts for Intelligent Vision Systems, 2-5 September 2003, Ghent, Belgium.
Publisher(s): Acivs 2003
File Format(s): application/pdf
Related Link(s):,
First Indexed: 2009-11-05 02:00:34 Last Updated: 2019-02-09 07:04:10