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Rapid Human Body Detection in Disaster Sites Using Image Processing from Unmanned Aerial Vehicle (UAV) Cameras

机译:利用无人机(UAV)相机的图像处理,在灾害站点中快速人体检测

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The development and impact of technology on our everyday lives cannot be compared with the world our ancestors lived in several decades ago. This is described as the world of technology (WoT). But despite all the advancements in technologies, understanding of the mechanisms of nature and the damages caused via natural disasters, such as earthquakes, landslides, and flooding to mention only a few, are still very far away. In the effort of saving lives during natural disasters, such as earthquakes, this study introduces a rapid human body detection using image processing from UAV camera. The skin color from a female student is first extracted in RGB then converted to HSV. Next, opening and closing morphological operations are performed eight times each to remove all noise present in the image. Experimental tests were performed both indoor and outdoor, where the female student presented an object close and far to the camera to check the detection capability in both cases. The experiment results show that close or far, the camera can clearly detect both a human body and any part of a human body. The results of the experiment proves the merit of the proposed method.
机译:技术对我们日常生活的发展和影响不能与祖先在几十年前生活的世界进行比较。这被描述为技术世界(WOT)。尽管技术方面的所有进步,但了解自然灾害的自然机制和损害,如地震,山体滑坡和洪水只提到少数几个,仍然很远。在拯救生命的自然灾害期间,如地震,本研究介绍了使用UAV相机的图像处理的快速人体检测。第一次在RGB中提取来自女学生的肤色,然后转换为HSV。接下来,每次执行八次的打开和关闭形态操作,以消除图像中存在的所有噪声。在室内和室外进行实验测试,女学生呈现一个对象关闭,远距离相机,以检查两种情况下的检测能力。实验结果表明,接近或远,相机可以清楚地检测人体和人体的任何部分。实验结果证明了该方法的优点。

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