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In this paper, we propose a novel face recognition method that embeds the locality-constrained sparse representation in the dictionary learning framework. The shared-specific dictionary learning is employed to explicitly learn class-specific dictionary for each class that captures the most discriminative features of this class, and simultaneously learn a shared dictionary, whose atoms are shared by...
Recently, with the maturity of cloud services and the development of distributed computing, increasing images and video data are stored in the cloud. However, cloud services are generally provided by the third party entities. In addition, the images and video which are stored in the cloud mostly depend on the security of the cloud servers, while the data are not encrypted, which is a great threat...
Particle filtering is one of the most important and common tracking algorithms in WSN tracking system. The calculation amount of the particle filter is large while the calculation ability and energy power of the WSN nodes are very limited. In some circumstances, in order to improve the real-time ability and decrease the energy consumed of the tracking system, it is appropriate to reduce particles...
The Geography Markup Language (GML) has been introduced to standardize the representation of geographical data in Extensible Markup Language (XML), which makes the exchanging and sharing of geographical information easier. As GML becomes the geospatial language of the Web, the compression of GML files becomes a new challenge to the compression research field. That is because, GML documents tend to...
Motion segmentation is important in many computer vision application, which aims to detect motion regions such as moving vehicles and people in natural scenes. Detecting moving blobs provides a focus of attention for later processes such as tracking and activity analysis. However, changes from weather, illumination, shadow and repetitive motion from clutter make motion segmentation difficult to process...
In most block-based video coding systems, the fast block matching algorithms (BMAs) use the origin as the initial search center, which may not track the motion very well. To improve the accuracy of the fast BMAs, a new adaptive motion tracking search algorithm is proposed in this paper. Based on the spatial correlation of motion blocks, a predicted starting search point, which reflects the motion...
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