| Summary: | 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 97 === In this thesis, we present an interactive graph cut based video segmenta-
tion system. Recently, graph cut based segmentation tools become prevelant
for image/video segmentation problem. However, most of the previous works
deal with color information only. Such systems could fail under the condition
that there are regions similar in color between foreground and background.
Unfortunately, it is usutally hard to avoid. Especially when the objects are
filmed under a natural environment. To make it more pratical to use, we
propose criterion other than color to conduct the segmentation. Through our
observation, motion is a natural choice, since it is usually the case that fore-
ground and background has different motion pattern. Moreover, we also ex-
tend the Progressive Cut to the temporal-spatial video volume. Experiments
shows that by combining color and motion information, our system outper-
forms the previous works.
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