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Titlebook: Image Analysis; 17th Scandinavian Co Anders Heyden,Fredrik Kahl Conference proceedings 2011 Springer-Verlag GmbH Germany, part of Springer

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Highly Consistent Sequential Segmentationrame-to-frame. We first introduce a segmentation method that uses results of the previous frame as initialization and significantly improves consistency in comparison to a single frame based approach. We also find correspondences between the segmented regions from one frame to the next to further in
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On Inferring Image Label Information Using Rank Minimization for Supervised Concept Embedding a popular approach among image processing community, used to infer image labels. We propose a supervised learning procedure to obtain an embedding to a latent concept space with the pre-defined inner product. This learning procedure uses rank minimization of the sought inner product matrix, defined
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Mixed-State Particle Filtering for Simultaneous Tracking and Re-identification in Non-overlapping Caworks. We address the image-based tracking problem with distributed particle filters using a hierarchical color model. The novelty of our approach resides in the embedding of an already-seen-people database in the particle filter framework. Doing so, the filter performs not only position estimation
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