Video synopsis, summarizing a video to generate a shorter video by exploiting the spatial and temporal redundancies, is important for surveillance and archiving. Existing trajectory-based video synopsis algorithms will not able to work in real time, because of the complexity due to the number of object tubes that need to be included in the complex energy minimization algorithm. We propose a real-time algorithm by using a method that incrementally stitches each frame of the synopsis by extracting object frames from the user specified number of tubes in the buffer in contrast to global energy-minimization based systems. This also gives flexibility to the user to set the threshold of maximum number of objects in the synopsis video according his or her tracking ability and creates collision-free summarized videos which are visually pleasing. Experiments with six common test videos, indoors and outdoors with many moving objects, show that the proposed video synopsis algorithm produces better frame reduction rates than existing approaches.

实时视频摘要算法通过从用户指定数量的管道中提取对象帧来逐帧拼接摘要视频，与全局能量最小化系统相比具有更大的灵活性，该算法可以根据用户的跟踪能力设置对象数量阈值，生成无碰撞、视觉效果良好的摘要视频，实验证明该算法在减帧率方面优于现有方法。

基于移动物体的无碰撞视频概要