A Fast Motion Vector Estimation Method Based on Color Multidimension Projection

Xiao-Ning Wang, X. Han, Z. Yuan, Hongying Zhao
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Abstract

An approach of fast motion estimation (ME), aiming at the stabilization problem of video surveillance system on driving vehicle, is proposed in the paper. The information of color space based on multidimension projection and brightness based on grayscale projection (GP) are jointly considered. Compared with the traditional approaches of GP, the presented approach can be applied to achieve higher precision and remain real-time performance. Furthermore, it is more robust than GP, especially when brightness distribution of video image is nearly even. Meanwhile, scaling factor estimation is also applied, which is helpful to estimate motion vector(MV) from scaling motion mode.
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一种基于彩色多维投影的快速运动矢量估计方法
针对车辆行驶视频监控系统的稳定问题,提出了一种快速运动估计方法。同时考虑了基于多维投影的色彩空间信息和基于灰度投影(GP)的亮度信息。与传统的GP方法相比,该方法可以在保证实时性的前提下实现更高的精度。此外,在视频图像亮度分布接近均匀的情况下,该算法的鲁棒性优于GP算法。同时,还应用了比例因子估计,有助于从比例运动模式中估计运动矢量(MV)。
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