Additionally, a low-complexity technique for color comparison is proposed which enables us to obtain pixel-resolution segmentation at a negligible computational cost as compared to those of classical pixel-based approaches. The basic contribution of the current work compared to the related approaches is that, it allows each macroblock to have a different quantization parameter, in view of the requirements in variable as well as constant bit-rate applications. From the candidate macroblocks, foreground pixels are determined by comparing the colors of corresponding pixels pair-wise with a background model. Temporal statistics of the proposed feature vectors, describing macroblock units in each frame, are used to select potential candidates containing moving objects.
This paper presents a novel approach for background subtraction in bitstreams encoded in the Baseline profile of H.264/AVC. The H.264/Advanced Video Coding (AVC) is the industry standard in network surveillance offering the lowest bitrate for a given perceptual quality among any MPEG or proprietary codecs.
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