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Detection of task-specific moving objects from a sequence of images obtained by a camera attached to a moving robot is a complex task. This is mainly due to background motion in the video. This paper proposes a probabilistic object-based motion attention model for this purpose. This model is composed of four components: pre-attentive object-based segmentation, bottom-up motion attention, object-based...
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