Person identification using facial motion

L. F. Chen; H. Y.M. Liao; J. C. Lin

doi:10.1109/ICIP.2001.958584

Person identification using facial motion

L. F. Chen, H. Y.M. Liao^*, J. C. Lin

^*Corresponding author for this work

Institute of Brain Science

Research output: Contribution to conference › Paper › peer-review

30 Scopus citations

Abstract

In this paper, a new method for person identification based on facial motion is proposed. Facial motion is represented by a high-dimensional feature vector which is constructed by concatenating a sequence of motion flow fields. Under the proposed representation, each individual can be characterized as a feature vector which collects spatial and temporal information of a face simultaneously. We then make use of this high-dimensional spatiotemporal feature vector to perform person identification. The experimental results are encouraging and exciting in terms of robustness under varying illumination conditions.

Original language	English
Pages	677-680
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2001.958584
State	Published - Oct 2001
Event	IEEE International Conference on Image Processing (ICIP) - Thessaloniki, Greece Duration: 7 Oct 2001 → 10 Oct 2001

Conference

Conference	IEEE International Conference on Image Processing (ICIP)
Country/Territory	Greece
City	Thessaloniki
Period	7/10/01 → 10/10/01

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10.1109/ICIP.2001.958584

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title = "Person identification using facial motion",

abstract = "In this paper, a new method for person identification based on facial motion is proposed. Facial motion is represented by a high-dimensional feature vector which is constructed by concatenating a sequence of motion flow fields. Under the proposed representation, each individual can be characterized as a feature vector which collects spatial and temporal information of a face simultaneously. We then make use of this high-dimensional spatiotemporal feature vector to perform person identification. The experimental results are encouraging and exciting in terms of robustness under varying illumination conditions.",

author = "Chen, {L. F.} and Liao, {H. Y.M.} and Lin, {J. C.}",

year = "2001",

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AB - In this paper, a new method for person identification based on facial motion is proposed. Facial motion is represented by a high-dimensional feature vector which is constructed by concatenating a sequence of motion flow fields. Under the proposed representation, each individual can be characterized as a feature vector which collects spatial and temporal information of a face simultaneously. We then make use of this high-dimensional spatiotemporal feature vector to perform person identification. The experimental results are encouraging and exciting in terms of robustness under varying illumination conditions.

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T2 - IEEE International Conference on Image Processing (ICIP)

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Person identification using facial motion

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