The application belongs to the technical field of power monitoring, and discloses a power monitoring video fast splicing method based on
key frame extraction, which comprises the following steps: video preprocessing, acquiring multiple power operation
site monitoring videos, carrying out data cleaning and data enhancement, and laying a foundation for subsequent splicing; in the aspect of
feature extraction network, the modeling capability of the
algorithm on space and
time sequence information is considered, a time shift module TSM is embedded into a two-dimensional
convolution network ResNet101, a two-dimensional
convolution network TSM-ResNet101 with space and
time sequence information modeling capability is obtained, the network is used as the
feature extraction network of the
algorithm, non-overlapping areas are directly spliced, and panoramic key frames are generated; panoramic video generation: the panoramic key frames are reorganized according to the
time sequence of the original video, a linear interpolation method is used to supplement the interframe transition effect, and a complete and smooth 360° panoramic monitoring video is generated. The application effectively resists
electromagnetic interference in the power site, improves the quality of key frames, and provides protection for accurate registration.