Moving Object Based Collision-Free Video Synopsis
Anton Jeran Ratnarajah Sahani Goonetilleke Dumindu Tissera Kapilan Balagopalan Ranga Rodrigo
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.