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

机译:使用无人机(UAV)摄像机的图像处理功能,在灾难现场快速检测人体

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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:技术的发展和对我们日常生活的影响无法与我们祖先几十年前所生活的世界相提并论。这被描述为技术世界(WoT)。但是,尽管技术取得了所有的进步,但对自然机制和自然灾害(例如地震,山体滑坡和洪水等)所造成的破坏的了解还很少。为了在地震等自然灾害中挽救生命,本研究介绍了一种利用无人机摄像头进行图像处理的快速人体检测方法。首先从RGB中提取女学生的肤色,然后将其转换为HSV。接下来,进行八次打开和关闭形态操作,以消除图像中存在的所有噪声。在室内和室外均进行了实验测试,在这两种情况下,女学生都向摄像机靠近和靠近的物体展示了一个物体,以检查其检测能力。实验结果表明,相机可以近距离或远距离清晰地检测到人体和人体的任何部位。实验结果证明了该方法的优越性。

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