Face profile is an important aspect of face recognition and it provides a complementary structure of the face that is seen in the non-frontal view. In the past, several methods have been proposed to recognize face profiles in still images. However, face profile images that are captured at a distance by surveillance cameras usually are video sequences that have a low resolution. It is difficult to extract accurate face profile directly from a low-resolution video frame, which does not have many pixels on the face profile. The emphasis of this paper is to introduce a practical approach for human recognition by using high-resolution face profile images constructed from the low-resolution videos. We use both the spatial and temporal information present in a number of adjacent low-resolution frames of a video sequence to construct high-resolution face profile images. As the quality of high-resolution images relies on the correctness of image alignment between consecutive frames, an elastic registration algorithm is used for face profile image alignment. A match statistic is designed to detect and discard poorly aligned images which may degrade the quality of the high-resolution face profile image. After obtaining high-resolution face profile images, we use a dynamic time warping method for face profile recognition. A number of dynamic video sequences are tested to demonstrate the applicability and reliability of our method.
Human Recognition Based on Face Profiles in Video
01.01.2005
396233 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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