关键词: 轮廓图像 特征空间 相似度 支持向量机

Abstract:

This paper proposes a new method of detecting and tracking video-based human faces, which includes the aspects of human face detection and object trac king. First, in order to implement human face detection, the algorithm extracts the profile features of human face training samples and uses SVM to clas sify those features. Then, it establishes a feature space model, uses a similarity function to choose the optimal feature space, which simplifies the tracking difficulty and reduces the number of features. Experiments show that the method is robust and fast, even when the color of the background and the tracked objects are very similar, and it can accurately track and locate the object human face.

Key words: （profile feature, feature space, similarity, SVM）