Under the natural state of unrestricted conditions, accuracy effective recognition image target information captured by ordinary cameras is significantly reduced. At present, mainstream research methods for focus on processing images based algorithms with strong ability to describe features so as improve performance in cases complex noise interference. However, most cannot adapt various changes...

Abstract Aiming at GPS dynamic filtering method, this paper uses the method of multi-scale analysis, combines the “current” statistical model of automotive carrier with multi-scale signal transformation which is based on statistical characteristic, establishes the new algorithm of multi-scale data fusion for GPS dynamic filter combining with normal Kalman filter algorithm, at last achieves the ...

this study is aimed at comparing life expectancy, resilience and differentiation between adolescents of single-child and multi-child families living in khorramabad, iran. this is a causal-comparative study and the statistical population consisted of all the male and female adolescent students in the middle and high schools of khorramabad in the academic year 2015-2016. the sample included 150 s...

Existing object detection algorithms are affected by scenes with poor robustness, besides the existing public datasets not applicable to urban road traffic scenes. In order solve problems of low accuracy in detecting panoramic video images, high false rate, this article designed a real-time information method based on multi-scale feature fusion. For start, vehicle equipped hp-f515 driving recor...

Abstract Deformable medical image registration refers to finding a certain transformation so that the corresponding points of two images can be aligned in space. This has important clinical applications. In this article, we propose an unsupervised end-to-end method. method, fixed and moving are concatenated series input into convolution neural network obtain feature different scales. order impr...