Detection and tracking of facial features

Liyanage C. De Silva; Kiyoharu Aizawa; Mitsutoshi Hatori

doi:10.1117/12.206649

21 April 1995 Detection and tracking of facial features

Liyanage C. De Silva, Kiyoharu Aizawa, Mitsutoshi Hatori

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206649
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

Detection and tracking of facial features without using any head mounted devices may become required in various future visual communication applications, such as teleconferencing, virtual reality etc. In this paper we propose an automatic method of face feature detection using a method called edge pixel counting. Instead of utilizing color or gray scale information of the facial image, the proposed edge pixel counting method utilized the edge information to estimate the face feature positions such as eyes, nose and mouth in the first frame of a moving facial image sequence, using a variable size face feature template. For the remaining frames, feature tracking is carried out alternatively using a method called deformable template matching and edge pixel counting. One main advantage of using edge pixel counting in feature tracking is that it does not require the condition of a high inter frame correlation around the feature areas as is required in template matching. Some experimental results are shown to demonstrate the effectiveness of the proposed method.

Citation Download Citation

Liyanage C. De Silva, Kiyoharu Aizawa, and Mitsutoshi Hatori "Detection and tracking of facial features", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206649

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