Summarization of Surveillance Video Sequences Using Face Quality Assessment

Research output: Contribution to journalJournal articleResearchpeer-review

5 Citations (Scopus)

Abstract

Constant working surveillance cameras in public places, such as airports and banks, produce huge amount of video data. Faces in such videos can be extracted in real time. However, most of these detected faces are either redundant or useless. Redundant information adds computational costs to facial analysis systems and useless data makes the final results of such systems noisy, unstable, and erroneous. Thus, there is a need for a mechanism to summarize the original video sequence to a set of the most expressive images of the sequence. The proposed system in this paper uses a face quality assessment technique for this purpose. The summarized results of this technique have been used in three different facial analysis systems and the experimental results on real video sequences are promising.
Original languageEnglish
JournalInternational Journal of Image and Graphics
Volume11
Issue number2
Pages (from-to)207-233
ISSN0219-4678
DOIs
Publication statusPublished - 2011

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title = "Summarization of Surveillance Video Sequences Using Face Quality Assessment",
abstract = "Constant working surveillance cameras in public places, such as airports and banks, produce huge amount of video data. Faces in such videos can be extracted in real time. However, most of these detected faces are either redundant or useless. Redundant information adds computational costs to facial analysis systems and useless data makes the final results of such systems noisy, unstable, and erroneous. Thus, there is a need for a mechanism to summarize the original video sequence to a set of the most expressive images of the sequence. The proposed system in this paper uses a face quality assessment technique for this purpose. The summarized results of this technique have been used in three different facial analysis systems and the experimental results on real video sequences are promising.",
author = "Kamal Nasrollahi and Moeslund, {Thomas B.} and Mohammad Rahmati",
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pages = "207--233",
journal = "International Journal of Image and Graphics",
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Summarization of Surveillance Video Sequences Using Face Quality Assessment. / Nasrollahi, Kamal; Moeslund, Thomas B.; Rahmati, Mohammad.

In: International Journal of Image and Graphics, Vol. 11, No. 2, 2011, p. 207-233.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Summarization of Surveillance Video Sequences Using Face Quality Assessment

AU - Nasrollahi, Kamal

AU - Moeslund, Thomas B.

AU - Rahmati, Mohammad

PY - 2011

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N2 - Constant working surveillance cameras in public places, such as airports and banks, produce huge amount of video data. Faces in such videos can be extracted in real time. However, most of these detected faces are either redundant or useless. Redundant information adds computational costs to facial analysis systems and useless data makes the final results of such systems noisy, unstable, and erroneous. Thus, there is a need for a mechanism to summarize the original video sequence to a set of the most expressive images of the sequence. The proposed system in this paper uses a face quality assessment technique for this purpose. The summarized results of this technique have been used in three different facial analysis systems and the experimental results on real video sequences are promising.

AB - Constant working surveillance cameras in public places, such as airports and banks, produce huge amount of video data. Faces in such videos can be extracted in real time. However, most of these detected faces are either redundant or useless. Redundant information adds computational costs to facial analysis systems and useless data makes the final results of such systems noisy, unstable, and erroneous. Thus, there is a need for a mechanism to summarize the original video sequence to a set of the most expressive images of the sequence. The proposed system in this paper uses a face quality assessment technique for this purpose. The summarized results of this technique have been used in three different facial analysis systems and the experimental results on real video sequences are promising.

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DO - 10.1142/S0219467811004068

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EP - 233

JO - International Journal of Image and Graphics

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SN - 0219-4678

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