A Fast Motion Vector Estimation Method Based on Color Multidimension Projection

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@InProceedings{Wang:2009:WGEC,

• author = "Xiao-Ning Wang and Xiao-Wei Han and Zhong-Hu Yuan and Hong-Ying Zhao",
• title = "A Fast Motion Vector Estimation Method Based on Color Multidimension Projection",
• booktitle = "3rd International Conference on Genetic and Evolutionary Computing, WGEC '09",
• year = "2009",
• month = "14-17 " # oct,
• pages = "311--314",
• abstract = "An approach of fast motion estimation (ME), aiming at the stabilisation problem of video surveillance system on driving vehicle, is proposed in the paper. The information of colour 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.",
• keywords = "genetic algorithms, genetic programming, colour multidimension projection, color space information, driving vehicle, fast motion estimation, fast motion vector estimation, grayscale projection, scaling motion mode, stabilisation problem, video image, video surveillance system, image colour analysis, motion estimation, video surveillance",
• DOI = "doi:10.1109/WGEC.2009.136",
• notes = "Also known as \cite{5402887}",

}

Genetic Programming entries for Xiao-Ning Wang Xiao-Wei Han Zhong-Hu Yuan Hong-Ying Zhao

Citations