Antiblurry Dejitter Image Stabilization Method of Fuzzy Video for Driving Recorders

	Antiblurry Dejitter Image Stabilization Method of Fuzzy Video for Driving Recorders
	Xiong, J. Y.; M. Dai; C. L. Zhao and R. Q. Wang
	2017
发表期刊	Ksii Transactions on Internet and Information Systems
卷号	11 期号:6
摘要	Video images captured by vehicle cameras often contain blurry or dithering frames due to inadvertent motion from bumps in the road or by insufficient illumination during the morning or evening, which greatly reduces the perception of objects expression and recognition from the records. Therefore, a real-time electronic stabilization method to correct fuzzy video from driving recorders has been proposed. In the first stage of feature detection, a coarse-to-fine inspection policy and a scale nonlinear diffusion filter are proposed to provide more accurate keypoints. Second, a new antiblurry binary descriptor and a feature point selection strategy for unintentional estimation are proposed, which brought more discriminative power. In addition, a new evaluation criterion for affine region detectors is presented based on the percentage interval of repeatability. The experiments show that the proposed method exhibits improvement in detecting blurry corner points. Moreover, it improves the performance of the algorithm and guarantees high processing speed at the same time.
收录类别	sci ; ei
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/59341
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Xiong, J. Y.,M. Dai,C. L. Zhao and R. Q. Wang. Antiblurry Dejitter Image Stabilization Method of Fuzzy Video for Driving Recorders[J]. Ksii Transactions on Internet and Information Systems,2017,11(6).
APA	Xiong, J. Y.,M. Dai,&C. L. Zhao and R. Q. Wang.(2017).Antiblurry Dejitter Image Stabilization Method of Fuzzy Video for Driving Recorders.Ksii Transactions on Internet and Information Systems,11(6).
MLA	Xiong, J. Y.,et al."Antiblurry Dejitter Image Stabilization Method of Fuzzy Video for Driving Recorders".Ksii Transactions on Internet and Information Systems 11.6(2017).

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