现代电子技术2012，Vol.35Issue(6)：119-122,4.
基于关键点梯度特征描述的人体行为识别算法
Human action recognition algorithm based on gradient feature description for interest points
范引娣1
作者信息
- 1. 陕西交通职业技术学院,陕西西安710014
- 折叠
摘要
Abstract
A scheme of new human action recognition is presented and its algorithm is performed. The interest points in video sequence are extracted through Gaussian filtering in space of video sequence and Gabor filtering in time axis. The GLOH (gradient location orientation histogram) is adopted to describe the features of the threshold 20×20 region at each interest pointe. The described sequence may feature the video sequence. Comparing with other human action recognition algorithms, only by establishing a single support vector classifier can the algorithm realize the high recognition rate, that is, it need not label the given feature region and use the classification algorithm which wastes time. The algorithm is simple and efficient.关键词
关键点检测/梯度位置朝向直方图/人体行为识别/支持向量机Key words
detection at interest point/GLOH/human action recognition/SVM分类
信息技术与安全科学引用本文复制引用
范引娣..基于关键点梯度特征描述的人体行为识别算法[J].现代电子技术,2012,35(6):119-122,4.
