Robust Registration and Filtering for Moving Object Detection in Aerial Videos
Robust Registration and Filtering for Moving Object Detection in Aerial Videos
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DOI：
10.1109/icpr.2014.484
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发表时间：
2014-08
期刊：
影响因子：
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通讯作者：
F. Schubert;K. Mikolajczyk
中科院分区：
文献类型：
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作者：
F. Schubert;K. Mikolajczyk
本文提出了一种具有两重贡献的多帧运动检测方法。首先，我们提出了一种新的图像配准方法，该方法能够稳健地处理大量的航空图像。我们表明，它可以受益于使用显卡的硬件加速实现，允许以高帧速率处理。其次，为了处理配准不准确和传感器噪声导致的虚警，我们提出了一种有效的过滤步骤来减少由于背景减去而产生的不正确的运动假设。实验结果表明，该方法在保持较高召回率的同时，显著提高了运动检测的精度。我们介绍了一个用于评估空中监视系统的新数据集，该数据集将用于比较。我们从精度和速度两个方面对配准性能进行了评估，并从运动检测性能对滤波进行了评估。
In this paper we present a multi-frame motion detection approach for aerial platforms with a two-folded contribution. First, we propose a novel image registration method, which can robustly cope with a large variety of aerial imagery. We show that it can benefit from a hardware accelerated implementation using graphic cards, allowing processing at high frame rate. Second, to handle the inaccuracy of the registration and sensor noise that result in false-alarms, we present an efficient filtering step to reduce incorrect motion hypotheses that arise from background substraction. We show that the proposed filtering significantly improves the precision of the motion detection while maintaining high recall. We introduce a new dataset for evaluating aerial surveillance systems, which will be made available for comparison. We evaluate the registration performance in terms of accuracy and speed as well as the filtering in terms of motion detection performance.