Multiple-cue face tracking using particle filter embedded in incremental discriminant models

Zi Yang Liu, Ju Chin Chen, Jenn Jier James Lien

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

This paper presents a multi-feature integrated algorithm incorporating a particle filter and the incremental linear discriminant models for face tracking purposes. To solve the drift problem, the discriminant models are constructed for colour and orientation feature to separate the face from the background clutter. The colour and orientation features are described in the form of part-wisely concatenating histograms such that the global information and local geometry can be preserved. Additionally, the proposed adaptive confidence value for each feature is fused with the corresponding likelihood probability in a particle filter. To render the face tracking system more robust toward variations in the facial appearance and background scene, the LDA model for each feature is updated on a frame-by-frame basis by using the discriminant feature vectors selected in accordance with a co-training approach. The experimental results show that the proposed system deals successfully with face appearance variations (including out-of-plane rotations), partial occlusions, varying illumination conditions, multiple scales and viewpoints, and cluttered background scenes.

原文English
主出版物標題VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications
頁面373-380
頁數8
出版狀態Published - 2010
事件5th International Conference on Computer Vision Theory and Applications, VISAPP 2010 - Angers, France
持續時間: 2010 5月 172010 5月 21

出版系列

名字VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications
1

Other

Other5th International Conference on Computer Vision Theory and Applications, VISAPP 2010
國家/地區France
城市Angers
期間10-05-1710-05-21

All Science Journal Classification (ASJC) codes

  • 計算機理論與數學
  • 電腦科學應用
  • 電腦視覺和模式識別

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