查看文章

Human action recognition is critical because it allows machines to comprehend and interpret human behavior, which has several real-world applications such as video surveillance, robot-human collaboration, sports analysis, and entertainment. The enormous variety in human motion and appearance is one of the most challenging problems in human action recognition. Additionally, when drones are employed for video capture, the complexity of recognition gets enhanced manyfold. The challenges including the dynamic background, motion blur, occlusions, video capture angle, and exposure issues gets introduced that need to be taken care of. In this article, we proposed a system that deal with the mentioned challenges in drone recorded red-green-blue (RGB) videos. The system first splits the video into its constituent frames and then performs a focused smoothing operation on the frames utilizing a bilateral filter …