摘要
多模态融合技术在生物特征识别、人体动作识别领域受到越来越多的关注。本文介绍了多模态技术及其融合算法的技术背景,并从数据维度出发,分别论述了低维到高维的多模态融合技术在人体动作识别领域的实现方式。参照此技术,消防领域中的火灾探测算法宜采用结合深度学习框架的多模态数据融合技术实现,以获得更高的精度。
Multimodal fusion technology has attracted more and more attention in the fields of biometric recognition and human motion recognition. This paper introduces the technical background of multimodal technology and its fusion algorithm, and discusses the implementation of multimodal fusion technology from low dimension to high dimension in the field of human motion recognition. Referring to this technology, the fire detection algorithm in the field of fire protection should be realized by multi-modal data fusion technology combined with deep learning framework, so as to achieve the purpose of higher accuracy.
作者
邱怀骏
QIU Huaijun(Shenyang Tymo Tech Ltd.,Shenyang Liaoning 110003,China)
出处
《信息与电脑》
2021年第15期1-4,共4页
Information & Computer
关键词
多模态融合
深度学习
火灾探测
deeping learning
fire detection
multimodal fusion