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.


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    Title :

    Human Recognition Based on Face Profiles in Video


    Contributors:
    Xiaoli Zhou, (author) / Bhanu, B. (author)


    Publication date :

    2005-01-01


    Size :

    396233 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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