Provided is an image segmentation device and method based on a sequential frame image of a static scene. The image segmentation device includes an image extraction unit, a seed point detection unit, and an image segmentation unit. The image extraction unit extracts a plurality of sequential frame images from a static scene, and calculates an average and standard deviation of each corresponding pixel. The seed point detection unit extracts a seed point with the average and standard deviation of each pixel calculated by the image extraction unit. The image segmentation unit generates a segmentation image through labeling by a region growing technique, based on the seed point. The image segmentation method captures a sequential frame of a static scene to generate an average and standard deviation of each pixel in the sequential frame and an average image, extracts a seed point with the generated average and standard deviation, and labels a plurality of pixels adjacent to the seed point in a region growing technique which bundles the same regions by allocating a label.
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