首页> 外文期刊>Arabian journal of geosciences >Recognition and tracking of moving objects in the images captured by UAV intelligently in earth observation operations
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Recognition and tracking of moving objects in the images captured by UAV intelligently in earth observation operations

机译:在地球观测操作中智能地识别和跟踪由UAV捕获的图像中的移动对象

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摘要

Today, drone is used for different purposes. Among these, security through detecting and tracking moving vehicles that have violated traffic rules, developing photo coverage from vast and high-risk areas, helping out deprived areas, and so on can be mentioned. In this paper, a new method is presented for detecting and tracking moving objects from moving platforms. The process itself consists of two parts: (1) identifying the path range that the object moves, which helps eliminate excess margins and increase the speed of operations and (2) identifying moving objects inside the path range and tracking them with a new method, which helps increase the accuracy in this regard. The approach presented to the selected video is applied to a frame as large as (1280x720) and has yielded very satisfactory results. Thus, the ability to identify the given moving objects in this method is 66% and 75% in very crowded scenes and in very quiet scenes, respectively. However, the power of the conventional methods in this regard is about 21% and 50% in the scenes with very busy backgrounds and in the scenes with very quiet backgrounds, respectively.
机译:今天,无人机用于不同的目的。其中,安全通过检测和跟踪具有违反交通规则的移动车辆,从广大和高风险区域开发照片覆盖,可以提及剥夺剥夺区域等。在本文中,提出了一种用于从移动平台检测和跟踪移动物体的新方法。过程本身由两部分组成:(1)识别对象移动的路径范围,这有助于消除多余的边缘并提高操作速度和(2)识别路径范围内的移动物体并用新方法跟踪它们,这有助于提高这方面的准确性。呈现给所选视频的方法应用于大于(1280x720)的帧,并且产生了非常令人满意的结果。因此,在这种方法中识别给定的移动物体的能力分别在非常拥挤的场景和非常安静的场景中的66%和75%。然而,在这方面的传统方法的力量分别在非常繁忙的背景和具有非常安静的背景的场景中的场景中约为21%和50%。

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