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Evaluation of an image processing algorithm for scene change detection.

机译：评估用于场景变化检测的图像处理算法。

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Despite the efforts to reduce traffic accidents by government entities and automobile manufactures, the numbers of accidents are not considerably reduced. An evaluation of an algorithm based on the fly's eye is done on this research applying its principles to detect scene change on images for printed circuit boards providing initial steps to implement this algorithm on vehicular traffic to keep track of objects moving on the field for collision avoidance purposes. The effectiveness of the algorithm is addressed through a comparison of its performance with that found in experimental data.

机译：尽管政府机构和汽车制造商为减少交通事故做出了努力，但事故的数量并没有显着减少。在这项研究中，对基于蝇眼的算法进行了评估，并将其原理用于检测印刷电路板上图像的场景变化，从而为在车辆交通上实施该算法以跟踪物体在田间移动以避免碰撞提供了初步步骤目的。通过将算法性能与实验数据进行比较，可以解决算法的有效性。

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作者
Flores, Daniel.;
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作者单位

The University of Texas at El Paso.;

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授予单位 The University of Texas at El Paso.;
学科 Engineering Electronics and Electrical.;Transportation.;Computer Science.
学位 M.S.
年度 2008
页码 52 p.
总页数 52
原文格式 PDF
正文语种 eng
中图分类无线电电子学、电信技术;自动化技术、计算机技术;综合运输;
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Evaluation of an image processing algorithm for scene change detection.

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