Automatic Segmentation for Moving Objects in Video Sequences

Segmentation of video sequence into independently moving visual objects plays an important role in the motion detection of vision and the new video coding standard MPEG-4. The new sequence segmentation algorithm that extracts moving objects is organized as follows. First of all, the higher order statistics（HOS） hypothesis testing of inter-frame gray difference is used to automatically separate the motion region from background. Secondly, for three consecutive frames, superposition of the gray difference of first and second frame and that of second and third frame highlights the motion edge of the second frame, the covered／uncovered background may be eliminated using such idea. Thirdly, using morphologic method to fill and smooth the gained binary mask. Experiment testifies that the proposed algorithm is of few parameter, robust to noise, best in result of segmentation and with quick speed.