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

音的強(qiáng)弱

艦旗

gruelling

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

fiscal

按時(shí)間順序

prediabetes

爭(zhēng)議的蘋果

密切關(guān)系

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

anniversary

我吃花盤旋

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