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In this paper, we present a new color image segmentation model based on nonconvex low-rank and nonconvex sparse (NLRSR) factorization of the feature matrix. The main difference between our model and the recently developed methods like the sparse subspace clustering (SSC) and low-rank representation (LRR) based subspace clustering is that they use the data matrix as the dictionary while we learn a...
Gaussian mixture models(GMM) is a widely used approach for background modeling. However, computational barriers have limited its usage in real-time video processing applications. In this paper, we discussed a new update algorithm to achieve the goal of fast detection. Dirichlet prior are introduced to avoid redundant Gaussian components, reducing the computation time of each pixel. Most of the existing...
As one of the key characteristics of software as a Service (SaaS), multi-tenancy aims to support massive customers by sharing application instances and databases. To achieve the high economies of scale, one of the most issues needing to be solved in the real industry is that, given a fixed number of nodes, how to optimally place on-boarding tenants to maximize the total supported number of tenants...
The wearable video system supports decision making through analyzing video images. Because personnel who wear the system or the object monitored is always moving, the technology of motion detection and target contour extraction used in the wearable video system are studied. First, the frequently-used algorithms for motion detection are studied, including frame difference method and background subtraction...
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