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Motivated by the center-surround mechanism in the human visual attention system, we propose to use average contrast maps for the challenge of pedestrian detection in street scenes due to the observation that pedestrians indeed exhibit discriminative contrast texture. Our main contributions are the first to design a local statistical multichannel descriptor to incorporate both color and gradient information...
Inspired by the human vision system, in this paper we propose a specifically organized kind of center-surround contrast features and show their suitability for pedestrian detection. These contrasts are computed from a novel combination of both local color and gradient statistics aggregated quickly for arbitrary sized square cells. We exploit our contrast features in a rich multi-scale and -direction...
A fluorimetric method for differentiation of phytoplankton classes was developed based on GHM multiwavelet. The 3D fluorescence spectra date of 32 phytoplankton species dominant in coastal area of China sea were decomposed into different scale vectors and wavelet vectors by GHM multiwavelet. Then Ca2 vectors was selected as characteristic spectra by Bayesian discriminant analysis, and Ca2 reference...
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