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In this letter, we consider the problem of compressive sensing of hyperspectral images (HSIs). We propose a novel tensor-based approach by modeling the global spatial–spectral correlation and local smoothness properties hidden in HSIs. Specifically, we use the tensor Tucker decomposition to describe the global spatial–spectral correlation among all HSI bands, and a weighted 3-D total variation to...
Videos taken in the wild sometimes contain unexpected rain streaks, which brings difficulty in subsequent video processing tasks. Rain streak removal in a video (RSRV) is thus an important issue and has been attracting much attention in computer vision. Different from previous RSRV methods formulating rain streaks as a deterministic message, this work first encodes the rains in a stochastic manner,...
In this paper, we introduce the diversity of extortion by setting individuals' extortion capacities related to their degrees and study the evolution of cooperation on the heterogeneous BA scale-free network with the normalized payoff mechanism. We find that when individuals' extortion factors are negatively correlation with their degrees, extortioners can act as catalysts to make cooperation dominate...
Indoor positioning technique has been attracting more and more attention in recent years. In this paper, we propose a multi-path profile fingerprinting localization system based on software defined radio (SDR) platform. The system initially calibrates the multi-path profile (MP) and received signal strength (RSS) information to construct a fingerprint database. In the online positioning phase, the...
An unsupervised approach of the automatic collective motion group detection is proposed in this paper, which firstly extracted foreground-keypoints based Gaussian Mixture Models (GMMs) and Kanade-Lucas-Toma (KLT) trackers, then foreground-keypoints are multistage filtered by temporal and spatial distance adjacent filter operator, velocity angle filter operator and velocity correlations filter operator...
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