A face tracking method using feature point tracking

2012 International Conference on Information Security and Intelligent Control Pub Date : 2012-08-01 DOI:10.1109/ISIC.2012.6449743

Guo-Shiang Lin, T. Tsai

引用次数: 11

Abstract

In the paper, we proposed a face tracking method using feature point tracking. The proposed face tracking method is composed of two parts: face detection and face tracking. To evaluate the proposed method, several videos containing different kinds of face movement are captured by using low-cost webcam. Experimental results show that our proposed method can track facial regions well. In addition, the detection rate of our face tracking is more than 91%. These results demonstrate that our proposed method can achieve face tracking in real-world noisy videos.

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一种基于特征点跟踪的人脸跟踪方法

本文提出了一种基于特征点跟踪的人脸跟踪方法。所提出的人脸跟踪方法由人脸检测和人脸跟踪两部分组成。为了评估所提出的方法，使用低成本的网络摄像头捕获了几个包含不同类型面部运动的视频。实验结果表明，该方法可以很好地跟踪人脸区域。此外，我们的人脸跟踪的检测率超过91%。实验结果表明，本文提出的方法可以在真实的噪声视频中实现人脸跟踪。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2012 International Conference on Information Security and Intelligent Control

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