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Color-based Video Stabilization for Real-Time On-Board Object Detection on High-Speed Trains

机译:基于颜色的视频稳定,用于高速列车实时车载对象检测

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This paper is concerned with a particular application of image stabilization. Image stabilization is a necessary step to reduce the effect of camera motion when, as in this case, image sequences are acquired from a mobile platform. In this work, in order to find an efficient motion estimator, two one-dimensional characteristic curves are extracted from each video frame. Such curves are then compared in consequent frames to estimate image displacement. The proposed algorithm is suitable for real time processing and provides good performance; in order to verify its validity, it has been tested on a variety of color video-sequences taken from the point of view of trains moving along railways tracks. Results are provided in order to compare the proposed approach with a feature-based stabilization method.
机译:本文涉及图像稳定的特定应用。图像稳定化是减少相机运动效果的必要步骤,如在这种情况下,从移动平台获取图像序列。在这项工作中,为了找到有效的运动估计器,从每个视频帧中提取两个一维特征曲线。然后将这种曲线在随后的帧中进行比较以估计图像位移。所提出的算法适用于实时处理并提供良好的性能;为了验证其有效性,它已经在从火车沿铁路轨道移动的火车的角度上进行了测试的各种彩色视频序列。提供了结果,以比较所提出的方法,以具有基于特征的稳定方法。

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