Human Activity Recognition with OpenCV and Deep Learning - PyImageSearch

In this tutorial you will learn how to perform Human Activity Recognition with OpenCV and Deep Learning. Our human activity recognition model can recognize over 400 activities with 78.4-94.5% accuracy (depending on the task). To learn how to perform human activity recognition with OpenCV and Deep Learning, just keep reading! In the first part of this tutorial we'll discuss the Kinetics dataset, the dataset used to train our human activity recognition model. From there we'll discuss how we can extend ResNet, which typically uses 2D kernels, to instead leverage 3D kernels, enabling us to include a spatiotemporal component used for activity recognition.