Jung, Sung Uk and Nixon, Mark
On Using Gait Biometrics to Enhance Face Pose Estimation
At IEEE Fourth Conference on Biometrics: Theory, Applications and Systems, September, Washington DC, USA.
Many face biometrics systems use controlled environments where subjects are viewed directly facing the camera. This is less likely to occur in surveillance environments, so a process is required to handle the pose variation of the human head, change in illumination, and low frame rate of input image sequences. This has been achieved using scale invariant features and 3D models to determine the pose of the human subject. Then, a gait trajectory model is generated to obtain the correct the face region whilst handing the looming effect. In this way, we describe a new approach aimed to estimate accurate face pose. The contributions of this research include the construction of a 3D model for pose estimation from planar imagery and the first use of gait information to enhance the face pose estimation process.
Conference or Workshop Item
|Venue - Dates:
||IEEE Fourth Conference on Biometrics: Theory, Applications and Systems, September, Washington DC, USA, 2010-09-27
||Southampton Wireless Group
|27 September 2010||Accepted/In Press|
||10 Jan 2011 10:02
||17 Apr 2017 18:04
|Further Information:||Google Scholar|
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