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Object segmentation and tracking is a fundamental step for many digital video applications. In this paper, we present an active system (AMOS) which combines low level automatic region segmentation with an active method for defining and tracking high-level semantic video objects. The system contains two stages: an initial object segmentation stage where user input in the starting frame is used to create a semantic object; and an object tracking stage where underlying regions of the semantic object are tracked and grouped through successive frames. Experiments with different types of videos show very good performance.
Zhong et al. (Wed,) studied this question.