Performance Investigation of the Impact Mechanisms of Turbulence Image Mathematical Properties

Abstract: In this research, fuzzy gray degrees were established to quantitatively evaluate the impact mechanisms in the image properties of turbulence motion locus. Through selecting different impact mechanisms during image acquirement and establishing factor-parameters array, the mathematical model of fuzzy gray evaluating system can therefore be structured. After calculating those fuzzy gray relational degrees between those factor-parameters and image properties, the external impact on image properties can be quantized systematically. By repeatedly experiments their impact disciplines are determined, this paper also provides technical references and new research ideas for following turbulence monitoring in practice as well. Copyrigh

A New Vehicle Image Dynamic Tracking Approach

Abstract: For the purpose of moving target’s detecting, a new image tracking approach based on the changing factor of reference background learning and the direction predicting operator is presented. The high-speed moving vehicle is used as the detecting target for establishing a changing factor, on this basis the image sequence’s reference background learning is conducted, then by cross-correlation matching and coordinate transforming the moving target-vehicle is coordinate-positioned and speed-determined, combining with the direction predicting operator the moving direction of the target vehicle is predicted, thus the vehicle imagetracking can be realized. Through tracking experiment and performance comparison it is proved that by this new approach an accurate and stable tracking results of moving vehicle can be gotten; a new idea can also be provided for the research of moving target’s image-monitoring. Copyright © 2014 IFSA Publishing, S. L