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Hardware Implementation for Stabilization of Detected Face Area  

Cho, Ho-Sang (동아대학교)
Jang, Kyoung-Hoon (동아대학교)
Kang, Hyun-Jung (동아대학교)
Kang, Bong-Soon (동아대학교)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.13, no.2, 2012 , pp. 77-82 More about this Journal
Abstract
This paper presents a hardware-implemented face regions stabilization algorithm that stabilizes facial regions using the locations and sizes of human faces found by a face detection system. Face detection algorithms extract facial features or patterns determining the presence of a face from a video source and detect faces via a classifier trained on example faces. But face detection results has big variations in the detected locations and sizes of faces by slight shaking. To address this problem, the high frequency reduce filter that reduces variations in the detected face regions by taking into account the face range information between the current and previous video frames are implemented in addition to center distance comparison and zooming operations.
Keywords
Face Recognition; Face Detection; Face Area Stabilization; Hardware Design;
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