A Real-Time MRF Based Approach for Binary Segmentation
نویسنده
چکیده
We present an MRF based approach for binary segmentation that is able to work in real time. As we are interested in processing of live video streams, fully unsupervised learning schemes are necessary. Therefore, we use generative models. Unlike many existing methods that use Energy Minimization techniques, we employ max-marginal decision. It leads to sampling algorithms that can be implemented for the proposed model in a very efficient manner.
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تاریخ انتشار 2012