视频分类
R2025b 使用深度学习执行视频分类和活动识别
使用深度学习将来自视频流等视觉数据源的图像序列中包含的活动或动作分类成一组类别。基于视觉的活动识别涉及使用一组视频帧来预测图像序列中的动作，例如行走、游泳或静坐。视频中的活动识别应用广泛，例如人机交互、异常检测和监控。要了解详细信息，请参阅Getting Started with Video Classification Using Deep Learning。
App
函数
主题
- Getting Started with Video Classification Using Deep Learning
Video recognition and classification, analyze, classify, and track actions contained in visual data sources.
精选示例
Activity Recognition from Video and Optical Flow Data Using Deep Learning
Train an inflated-3D (I3D) two-stream convolutional neural network for activity recognition using RGB and optical flow data from videos.
Human Activity Recognition Using R(2+1)D Video Classification
Train an R(2+1)D video classifier for activity recognition.
Gesture Recognition using Videos and Deep Learning
Train a SlowFast convolutional neural network for gesture recognition using RGB data from videos.
