Detect Human Faces in Video
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Abstract
Face detection in video has received considerable attention in recent years due to numerous possible applications.A new algorithm that can detect multi faces with multiple orientation and scales against a complex background in MPEG video sequences is presented,which can also detect faces from where multi faces overlap with each other.To satisfy the need of video retrieval,several means are applied to save the computation cost.These means include tuning the skin filter according to the redundancy among frames,tracking faces in a GOP using motion vectors directly from the MPEG format,updating the code-book for segmentation according to the change of scene. New algorithm is applied to multiple test video sequence,and results are promising.
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