19 January 2006 Extracting focused object from low depth-of-field image sequences
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Abstract
The paper proposes a novel unsupervised video object segmentation algorithm for image sequences with low depth-offield (DOF), which is a popular photographic technique enabling to represent the intention of photographer by giving a clear focus only on an object-of-interest (OOI). The proposed algorithm largely consists of two modules. The first module automatically extracts OOIs from the first frame by separating sharply focused OOIs from other out-of-focused foreground or background objects. The second module tracks OOIs for the rest of the video sequence, aimed at running the system in real-time, or at least, semi-real-time. The experimental results indicate that the proposed algorithm provides an effective tool, which can be a basis of applications, such as video analysis for virtual reality, immersive video system, photo-realistic video scene generation and video indexing systems.
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Jungwoo Park, Jungwoo Park, Changick Kim, Changick Kim, } "Extracting focused object from low depth-of-field image sequences", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60771O (19 January 2006); doi: 10.1117/12.642319; https://doi.org/10.1117/12.642319
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