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Moving airplane real-time detecting based on lifting wavelets

机译:基于升降小波的移动飞机实时检测

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Moving objects detecting is one of the most important tasks in a lot of fields like robot vision, video information processing. A moving plane detecting method based on lifting-wavelets is introduced in this paper in order to improve the performance in the aspects of nicety and real-time. In the detecting process, we have taken full advantages of the characteristics of multi-resolution and the merit that lifting frame can be designed in time and frequency fields. Experimental results show that this method can increase the detecting efficiency effectively in different cases where the background is complicated and artificial objects are greatly different. The detecting capabilities would not be affected by the condition of moving objects. This method has good robustness and can remove noise well at the same time.
机译:移动物体检测是大量字段中最重要的任务之一,如机器人视觉,视频信息处理。 本文介绍了基于升降小波的移动平面检测方法,以提高节约和实时方面的性能。 在检测过程中,我们已经采取了多分辨率特性的完全优势,并且可以在时间和频率场中设计提升框架的优点。 实验结果表明,这种方法可以在背景复杂的不同情况下有效地增加检测效率,并且人造物体大大不同。 检测能力不会受到移动物体条件的影响。 这种方法具有良好的稳健性,并且可以同时去除噪声。

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