Xin Sun

Computer vision-based human motion recognition: technological evolution, key challenges, and cutting-edge trends

This paper systematically reviews the evolution of computer vision-based human motion recognition technology, from traditional handcrafted feature methods to convolutional neural networks and recurrent neural networks in the deep learning era, and then to the recently emerging Transformer architectures and vision-language models.