首页> 外文期刊>Journal of Intelligent & Robotic Systems: Theory & Application >A Catadioptric and Pan-Tilt-Zoom Camera Pair Object Tracking System for UAVs
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A Catadioptric and Pan-Tilt-Zoom Camera Pair Object Tracking System for UAVs

机译:无人机的折反射和俯仰变焦摄像机对对象跟踪系统

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摘要

Unmanned aerial vehicles (UAVs) are seeing widespread use in military, scientific, and civilian sectors in recent years. As the mission demands increase, these systems are becoming more complicated. Omnidirectional camera is a vision sensor that can captures 360° view in a single frame. In recent years omnidirectional camera usage has experienced a remarkable increase in many fields, where many innovative research has been done. Although, it is very promising, employment of omnidirectional cameras in UAVs is quite new. In this paper, an innovative sensory system is proposed, that has an omnidirectional imaging device and a pan tilt zoom (PTZ) camera. Such a system combines the advantages of both of the camera systems. The system can track any moving object within its 360° field of view and provide detailed images of it. The detection of the moving object has been accomplished by an adaptive background subtraction method implemented on the lowered resolution images of the catadioptric camera. A novel algorithm has also been developed to estimate the relative distance of the object with respect to the UAV, using tracking information of both of the cameras. The algorithms are implemented on an experimental system to validate the approach.
机译:近年来,无人驾驶飞机(UAV)在军事,科学和民用领域得到了广泛使用。随着任务需求的增加,这些系统变得越来越复杂。全向摄像机是一种视觉传感器,可以在一帧中捕获360°视野。近年来,在许多领域,进行了许多创新研究的全向相机使用量都显着增加。虽然,这是非常有前途的,但在无人机中使用全向摄像机是很新的。在本文中,提出了一种创新的感官系统,该系统具有全向成像设备和平移倾斜变焦(PTZ)相机。这样的系统结合了两个相机系统的优点。该系统可以跟踪其360°视野内的任何移动物体并提供详细的图像。通过对折反射式摄像机的分辨率较低的图像实施的自适应背景减法,可以完成对运动物体的检测。还已经开发出一种新颖的算法,以使用两个摄像机的跟踪信息来估计物体相对于无人机的相对距离。该算法在实验系统上实现,以验证该方法。

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