KEYWORDS: Video surveillance, Video, Surveillance, Computer programming, Cameras, Video coding, Video compression, Image segmentation, Intelligence systems, Imaging systems
In this paper, a new scheme is presented to improve the coding efficiency of sequences captured by stationary cameras
(or namely, static cameras) for video surveillance applications. We introduce two novel kinds of frames (namely
background frame and difference frame) for input frames to represent the foreground/background without object
detection, tracking or segmentation. The background frame is built using a background modeling procedure and
periodically updated while encoding. The difference frame is calculated using the input frame and the background frame.
A sequence structure is proposed to generate high quality background frames and efficiently code difference frames
without delay, and then surveillance videos can be easily compressed by encoding the background frames and difference
frames in a traditional manner. In practice, the H.264/AVC encoder JM 16.0 is employed as a build-in coding module to
encode those frames. Experimental results on eight in-door and out-door surveillance videos show that the proposed
scheme achieves 0.12 dB~1.53 dB gain in PSNR over the JM 16.0 anchor specially configured for surveillance videos.
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