基于haar样特征和肤色的视频序列眼动追踪

Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) Pub Date : 2007-11-26 DOI:10.1109/IIH-MSP.2007.401

Q. Han, Qiong Li, Xiongdong Huang, Tong Zhou, X. Niu

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引用次数: 3

摘要

本文提出了一种基于haar-like feature和人脸肤色的视频序列中人脸和眼睛的定位与跟踪方法。该方法首先提取人脸的haar-like特征，利用adaboost算法对图像中的人脸进行检测。然后根据所建立的几何模型，采用合适的皮肤模型对眼睛进行处理和定位。最后实现了视频序列中人脸和眼睛的跟踪。在实验室环境下用普通PC摄像机进行了测试，结果表明该方法具有较高的精度和速度。

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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Eyes Tracking in a Video Sequence Based-On Haar-like Features and Skin Color

This paper presents a method of face and eyes locating and tracking in a video sequence based on haar-like feature and face skin color. This method first extracts the haar-like feature of face and utilize adaboost algorithm to detect face in image. Then a appropriate skin-model is employed to dispose and locate the eyes based on the geometrical model. Finally the face and eyes tracking in the video sequence is achieved. Testing with a general PC camera in the laboratory environment shows that the method provides high precision and speed.

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Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)

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