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Appropriately merging visual words are an effective dimension reduction method for the bag-of-visual-words model in image classification. The approach of hierarchically merging visual words has been extensively employed, because it gives a fully determined merging hierarchy. Existing supervised hierarchical merging methods take different approaches and realize the merging process with various formulations...
Saliency detection is a challenging problem and one of the most active research topics in the field of computer vision. Application scenarios of saliency detection range from surveillance to retrieval, from industrial safety to sports analysis. Given the broad set of techniques used in saliency detection and the fast progress in this area, in this paper we briefly survey the corresponding literature...
This paper proposed a multi-cue based face tracking algorithm with the help of parallel multi-core processing. Due to illumination and occlusion problems, face tracking usually does not work stably based on a single cue. Three different visual cues, color histogram, edge orientation histogram and wavelet feature, are integrated under the framework of particle filter to improve the tracking performance...
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