Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-based Classification
| Citations: | 10 - 0 self |
BibTeX
@MISC{Ortiz_facerecognition,
author = {Enrique G. Ortiz and Alan Wright and Mubarak Shah},
title = {Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-based Classification},
year = {}
}
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Abstract
This paper presents an end-to-end video face recognition system, addressing the difficult problem of identifying a video face track using a large dictionary of still face images of a few hundred people, while rejecting unknown individuals. A straightforward application of the popularℓ 1-minimization for face recognition on a frame-by-frame basis is prohibitively expensive, so we propose a novel algorithm Mean Sequence SRC (MSSRC) that performs video face recognition using a joint optimization leveraging all of the available video data and the knowledge that the face track frames belong to the same individual. By adding a strict temporal constraint to theℓ 1-minimization that forces individual frames in a face track to all reconstruct a single identity, we show the optimization reduces to a single minimization over the mean of the face track. We also introduce a new Movie Trailer Face Dataset collected from 101 movie trailers on YouTube. Finally, we show that our method matches or outperforms the state-of-the-art on three existing datasets (YouTube Celebrities, YouTube Faces, and Buffy) and our unconstrained Movie Trailer Face Dataset. More importantly, our method excels at rejecting unknown identities by at least 8 % in average precision. 1.
Keyphrases
movie trailer face recognition mean sequence sparse representation-based classification face track unknown identity single minimization unknown individual large dictionary straightforward application available video data video face track youtube celebrity method match individual frame single identity popular 1-minimization difficult problem method excels face image video face recognition unconstrained movie trailer face dataset youtube face end-to-end video face recognition system novel algorithm mean sequence src strict temporal constraint joint optimization frame-by-frame basis new movie trailer face dataset average precision
