人体行为识别特征提取方法综述

Human Behavior Recognition Feature Extraction Method:A Survey

行为识别的过程很大程度上可以看作特征提取与分类器相结合,故特征提取方法的优劣直接影响最终识别效果。与静态图像物体识别相比,视频中人体行为识别特征提取更易受到动态背景、采集设备运动、视角和光照等因素影响人体,从而对研究人员的工作提出了很大挑战。为此,综合了近几年对行为识别特征提取系统分类和不同类型行为识别特征提取方法以及常用行为识别数据库等领域研究的最新进展,探讨了目前研究难点,阐述了与未来可能的研究发展方向。

The process of behavior recognition can be regarded as the combination of feature extraction and classifier to a large extent.Compared to static image object recognition,video feature extraction of human behavior recognition is more susceptible to such factors as dynamic background,acquisition device motion,perspective and illumination,so it poses great challenges to researchers.Based on the systematic classification of behavior recognition feature extraction,according to the different types of behavior recognition feature extraction methods and common behavior recognition database,the behavior recognition feature extraction is systematically classified to expound the latest research progress.And the current research difficulties and possible future research directions are discussed.