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Bird strikes present a huge risk for air vehicles, especially since traditional airport bird surveillance is mainly dependent on inefficient human observation. Recently, multiple groups have proposed bird monitoring using computer vision to detect birds, determine bird flying trajectories, and predict aircraft takeoff delays. However, the characteristics of bird flight using imagery which should be...
Correcting infrared camera distortion is necessary in target tracking and object recognition system. The existent FPGA algorithm didn't utilize sufficiently the advantage of the parallel processing and leaded to the results that a great deal of the system resources were consumed and the running speed was slowed down. The paper analyzed the existing problems such as serial structure in other algorithms,...
The traditional fixed bandwidth Mean-Shift Tracking algorithm can not have an effective tracking for any changes in targets. Based on the current methods, the tracking are particularly effective on gradually increase or decrease in size, there has no Mean-shift Tracking fit the size in any change. On the basic of this, we propose a combination of traditional algorithm bandwidth adaptive algorithm...
This paper is aimed to propose a new method for the discerning of point moving targets' tracks to improve the current search strategies, which can not make full use of the entire trace information based on the domain of current point target location. By using the PRI search of least-square trace prediction, we establish a trace-fitting model based on probability and statistics. By setting the predicted...
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