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Object representation is a major component in object tracking, however, most conventional patch-based methods just simply decompose the object into patches with grid or stochastic rectangles. This kind of decomposition ignores the intrinsic structure of object, leading to low discriminative power and weak representation effectiveness when similar objects appear or under background clutters. In this...
Robust pedestrian tracking in infrared image sequence becomes a crucial requirement for numerous computer vision applications. Conventional sparse appearance models have been widely used for tracking in infrared image sequence because it can reduce the noise efficiently and find the inner information in the fewer model data, but most of them aim at tracking the general object or rigid object and the...
Appearance-based person re-identification namely matching the same pedestrian across disjoint camera views, is an increasingly research spot. Researchers have proposed many complicated appearance descriptions. The role of basic visual features is seldom investigated, e.g. color, texture features, which are the basis of descriptions. By analyzing the characteristics of data environments, we can get...
In order to solve the pixel divergence problem brought by print and scan process, propose the algorithm that applying stretching contrast grade to adjust image pixel divergence. The parameter setting of this adjusting method uses peak signal noise ratio as standard of measurement, even though using different printer and scanner, we can also get good adjusting image. Simulation results show that the...
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