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In this research, we investigated a method of person identification in closed indoor environment, such as office or laboratory, under the condition which the members change their clothes day-by-day. Furthermore, we did not assume any constraint to posture or location of people even if a face of a person cannot be seen. This is a challenging problem due to the change of their pose and clothes cause...
Our understanding of human visual perception has been paramount in the development of tools for digital video processing. For this reason, saliency detection, i.e., the determination of visual importance in a scene, has come to the forefront in recent literature. In the proposed work, a new method for scale-aware saliency detection is introduced. Scale determination is afforded through a scale–space...
Spatial Pyramid Match lies at a heart of modern object category recognition systems. Once image descriptors are expressed as histograms of visual words, they are further deployed across spatial pyramid with coarse-to-fine spatial location grids. However, such representation results in extreme histogram vectors of 200K or more elements increasing computational and memory requirements. This paper investigates...
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