Efficient Moving Object Extraction in Compressed Low-Bit-Rate Video

Previous studies usually consider the motion object extraction (MOE) problem under uncompressed video, which is not practical since the high-frequency components are discarded already in the compressed low-bit-rate video. Moreover, extracting the motion object based only on illumination variation cannot work well when the moving object and background are with similar light intensities. Therefore, an MOE algorithm based on RGB-color model is proposed in this study. On the other hand, the blockbased background extraction method, which can more efficiently construct the background image, is also proposed. The simulation results show that the motion objects can be efficiently extracted using the proposed methods.