independent motion detection directly from compressed surveillance video
This paper presents a novel solution to the problem frequently encountered in military/intelligence surveillance: automatic mining video data for independently moving targets. Instead of attempting to detect each individual independently moving target in each frame, this method focuses on determining whether or not each frame has independent motion. Consequently, it differs from the existing literature on this topic in the following two aspects: (1) fast detection (2) detection directly from the compressed video streams instead of from the image sequences. These two aspects are motivated from the applications that this research aims to address, and therefore, are the contributions to the literature of independent motion detection. The solution is based on the Linear System Consistency Analysis, and thus is called LSCA . A number of distinctive technical advantages of LSCA as compared with the existing methods in the literature are identified. Evaluations from both simulated and real data show that LSCA holds a great promise in achieving fast detection without sacrificing the reasonable detection accuracy.
independent motion detection surveillance video mpeg singular value decomposition (svd)