Human motion recognition with a convolution kernel

被引：0
|
作者：
Cao, Dongwei [1 ]
Masoud, Osama T. [1 ]
Boley, Daniel [1 ]
机构：
[1] Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10 | 2006年
基金：
美国国家科学基金会;
关键词：
human motion recognition; convolution kernels; support vector machines;
D O I：
10.1109/ROBOT.2006.1642359
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We address the problem of human motion recognition in this paper. The goal of human motion recognition is to recognize the type of motion recorded in a video clip, which consists of a set of temporarily ordered frames. By defining a Mercer kernel between two video clips directly, we propose in this paper a recognition strategy that can incorporate both the information of each individual frame and the temporal ordering between frames. Combining the proposed kernel with the support vector machine, which is one of the most effective classification paradigms, the resulting recognition strategy exhibits excellent performance over real data sets.
引用
收藏
页码：4270 / +
页数：2
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