Multiview Gait Recognition

Multiview Gait Recognition is an important branch of computer vision that aims to extract and analyze human gait features from video data captured at different angles, enabling individual identification across various viewpoints. This technology overcomes the sensitivity of traditional gait recognition to changes in viewpoint, enhancing the robustness and accuracy of recognition. It is widely applied in intelligent surveillance, security protection, and human-computer interaction, making it highly valuable both in practical applications and research.