On Face Tracking in Video Sequences

نویسندگان

  • Evandro Ottoni Teatini Salles
  • Mario Sarcinelli-Filho
چکیده

This paper proposes a framework to track faces in image sequences in a video. The technique combines face detection through using Support Vector Machine (SVM) with target tracking through using a Kalman filter. The adjacent locations of the target point are predicted in a search window that reduces the number of image regions that are candidates for faces. Thus, the method can predict the object motion more accurately. Our architecture is distinguished by the satisfactory results for videos containing scale variation, bad illumination and complex background. Brightness compensation is applied to improve the detection of faces in videos. Keywords-face detection; face tracking; adaptive face tracking;SVM.

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تاریخ انتشار 2010