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Face Tracking
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Author(s): Daijin Kim (Pohang University of Science & Technology, Korea)and Jaewon Sung (LG Electronics, Korea)
Copyright: 2009
Pages: 71
Source title:
Automated Face Analysis: Emerging Technologies and Research
Source Author(s)/Editor(s): Daijin Kim (Pohang University of Science & Technology, Korea)and Jaewon Sung (LG Electronics, Korea)
DOI: 10.4018/978-1-60566-216-9.ch004
PurchaseView Face Tracking on the publisher's website for pricing and purchasing information. |
Abstract
When we want to analyze the continuous change of the face in an image sequence, applying face tracking methods is a better choice than applying the face detection methods to each image frame. Usually, the face tracking methods are more efficient than the ordinary face detection methods because they can utilize the trajectory of the face in the previous image frames with an assumption that the shape, texture, or motion of the face change smoothly. There have been many approaches to face tracking. We divide the face tracking methods into several categories according to the cues that are extracted for tracking.
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