Abstract: The present disclosure relates to systems and methods for video analysis. The systems may obtain a video stream. For each of a plurality of frames in the video stream, the systems may determine a reference score corresponding to the frame based on a spatiotemporal feature of the frame. The spatiotemporal feature of the frame may associate a feature of the frame with a feature of at least one adjacent frame of the frame. The systems may determine, from the plurality of frames in the video stream, one or more target frames based on reference scores corresponding to the plurality of frames.

Abstract: Disclosed are a truck load identification method, an electronic device and a storage medium. The truck load identification method includes: obtaining a to-be-identified image; in response to a truck being identified in the to-be-identified image, identifying a plurality of key points of a cargo area of the truck in the to-be-identified image; obtaining a cargo area map including only the cargo area based on the plurality of key points; obtaining a cargo attribute of the cargo area by identifying the cargo area map; and in response to determining that a current state of the truck is a preset state based on the cargo attribute of the cargo area, conducting a warning prompt. By virtue of the truck load identification method provided by the present disclosure, the identification accuracy may be improved.