首页|视频运动放大技术发展分析

视频运动放大技术发展分析

扫码查看
人们受限于身体机能,对许多重要信息无法直观获取.往往借助各种传感器,伴随着视频放大技术的兴起,人们借助计算机视觉技术起到了辅助桥梁监测的作用.这是由于视频运动放大技术可以将许多人眼无法直观看到的细微运动呈现出来,来实现对运动的观察和监测.随着计算机视觉领域的迅猛发张,视频运动放大技术,也从最初的拉格朗日放大方法、欧拉放大方法、相位放大方法,逐步过渡到深度学习模型和Transformer模型.之后,该技术更是被广泛应用于多个场景中,例如:微表情识别、动态行为检测、非接触心理检测等.
Analysis of the Development of Video Motion Magnification Technology
People are limited by their physical functions and cannot intuitively access many im-portant information.Often,they rely on various sensors,and with the rise of video magnifica-tion technology,they use computer vision technology to play an auxiliary role in bridge monito-ring.This is because video motion magnification technology can present many subtle motions that human eyes cannot directly see,to achieve the observation and monitoring of motion.With the rapid development of the field of computer vision,video motion magnification technology has also gradually transitioned from the initial Lagrangian magnification method,Euler magnifi-cation method,phase magnification method,to deep learning models and Transformer models.Later,this technology was applied to multiple scenarios,such as:micro-expression recognition,dynamic behavior detection,non-contact psychological detection,etc.

video motion magnificationEuler's methoddeep learning modelsTransformer models

曹鸿博

展开 >

三峡大学计算机与信息学院,湖北宜昌 443002

视频运动放大 欧拉方法 深度学习模型 Transformer模型

2024

长江信息通信
湖北通信服务公司

长江信息通信

影响因子:0.338
ISSN:2096-9759
年,卷(期):2024.37(4)
  • 17