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Probability analysis of position errors using uncooled IR stereo camera

机译:使用未冷却的红外立体摄像机的位置误差的概率分析

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This paper analyzes the random phenomenon of 3D positions when tracking moving objects using the infrared (IR) stereo camera, and proposes a probability model of 3D positions. The proposed probability model integrates two random error phenomena. One is the pixel quantization error which is caused by discrete sampling pixels in estimating disparity values of stereo camera. The other is the timing jitter which results from the irregular acquisition-timing in the uncooled IR cameras. This paper derives a probability distribution function by combining jitter model with pixel quantization error. To verify the proposed probability function of 3D positions, the experiments on tracking fast moving objects are performed using IR stereo camera system. The 3D depths of moving object are estimated by stereo matching, and be compared with the ground truth obtained by laser scanner system. According to the experiments, the 3D depths of moving object are estimated within the statistically reliable range which is well derived by the proposed probability distribution. It is expected that the proposed probability model of 3D positions can be applied to various IR stereo camera systems that deal with fast moving objects. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文分析了使用红外(IR)立体摄像机跟踪运动对象时3D位置的随机现象,并提出了3D位置的概率模型。提出的概率模型整合了两个随机误差现象。一种是像素量化误差,该误差是由离散采样像素在估计立体相机的视差值时引起的。另一个是由于未冷却的红外热像仪中不规则的采集时序而导致的时序抖动。通过结合抖动模型和像素量化误差,推导了概率分布函数。为了验证建议的3D位置概率函数,使用红外立体相机系统进行了跟踪快速移动物体的实验。通过立体匹配估计运动对象的3D深度,并将其与激光扫描仪系统获得的地面真实情况进行比较。根据实验,在统计上可靠的范围内估计了移动对象的3D深度,该范围可通过建议的概率分布很好地得出。可以预期,所提出的3D位置概率模型可以应用于处理快速移动物体的各种IR立体相机系统。 (C)2016 Elsevier B.V.保留所有权利。

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