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- 저자 : ( Xiaoqing Yin ) (검색결과 5 건)
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( Xiaoqing Yin ),( Bin Wang ),( Weili Li ),( Yu Liu ),( Maojun Zhang ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.10
We propose a background subtraction method for moving cameras based on trajectory classification, image segmentation and label inference. In the trajectory classification process, PCA-based outlier detection strategy is used to remove the outliers in the foreground trajectories. Combining optical flow trajectory with watershed algorithm, we propose a trajectory-controlled watershed segmentation algorithm which effectively improves the edge-preserving performance and prevents the over-smooth problem. Finally, label inference based on Markov Random field is conducted for labeling the unlabeled pixels. Experimental results on the motionseg database demonstrate the promising performance of the proposed approach compared with other competing methods.
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A Novel Video Stitching Method for Multi-Camera Surveillance Systems
( Xiaoqing Yin ),( Weili Li ),( Bin Wang ),( Yu Liu ),( Maojun Zhang ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.10
This paper proposes a novel video stitching method that improves real-time performance and visual quality of a multi-camera video surveillance system. A two-stage seam searching algorithm based on enhanced dynamic programming is proposed. It can obtain satisfactory result and achieve better real-time performance than traditional seam-searching methods. The experiments show that the computing time is reduced by 66.4% using the proposed algorithm compared with enhanced dynamic programming, while the seam-searching accuracy is maintained. A real-time local update scheme reduces the deformation effect caused by moving objects passing through the seam, and a seam-based local color transfer model is constructed and applied to achieve smooth transition in the overlapped area, and overcome the traditional pixel blending methods. The effectiveness of the proposed method is proved in the experiements.
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Yin Xi,Min Xiangde,Nan Yan,Feng Zhaoyan,Li Basen,Cai Wei,Xi Xiaoqing,Wang Liang 대한영상의학회 2020 Korean Journal of Radiology Vol.21 No.8
Objective: To compare the accuracies of quantitative computed tomography (CT) parameters and semiquantitative visual score in evaluating clinical classification of severity of coronavirus disease (COVID-19). Materials and Methods: We retrospectively enrolled 187 patients with COVID-19 treated at Tongji Hospital of Tongji Medical College from February 15, 2020, to February 29, 2020. Demographic data, imaging characteristics, and clinical data were collected, and based on the clinical classification of severity, patients were divided into groups 1 (mild) and 2 (severe/ critical). A semiquantitative visual score was used to estimate the lesion extent. A three-dimensional slicer was used to precisely quantify the volume and CT value of the lung and lesions. Correlation coefficients of the quantitative CT parameters, semiquantitative visual score, and clinical classification were calculated using Spearman’s correlation. A receiver operating characteristic curve was used to compare the accuracies of quantitative and semi-quantitative methods. Results: There were 59 patients in group 1 and 128 patients in group 2. The mean age and sex distribution of the two groups were not significantly different. The lesions were primarily located in the subpleural area. Compared to group 1, group 2 had larger values for all volume-dependent parameters (p < 0.001). The percentage of lesions had the strongest correlation with disease severity with a correlation coefficient of 0.495. In comparison, the correlation coefficient of semiquantitative score was 0.349. To classify the severity of COVID-19, area under the curve of the percentage of lesions was the highest (0.807; 95% confidence interval, 0.744–0.861: p < 0.001) and that of the quantitative CT parameters was significantly higher than that of the semiquantitative visual score (p = 0.001). Conclusion: The classification accuracy of quantitative CT parameters was significantly superior to that of semiquantitative visual score in terms of evaluating the severity of COVID-19.
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Lianghong Yin,Jianxun Zhao,Cheng Chen,Xiaoqing Hu,Xiaoyuan Wang 한국생물공학회 2014 Biotechnology and Bioprocess Engineering Vol.19 No.1
Our previous work has shown that L-isoleucineproduction in Corynebacterium glutamicum IWJ001 couldbe increased by overexpressing ilvA1 encoding a feedbackresistantthreonine dehydratase, ilvBN1 encoding a feedbackresistantacetohydroxy acid synthase, lrp encoding theglobal regulator Lrp, brnFE encoding the two-componentexport system BrnFE, or ppnk1 encoding NAD kinase. The main purpose of this study is to further increase theL-isoleucine production in C. glutamicum IWJ001 byoverexpressing the above genes in various combinations. Several C. glutamicum strains IWJ001/pDXW-8-ppnk1-lrpbrnFE,IWJ001/pDXW-8-ilvBN1-ilvA1-lrp-brnFE, IWJ001/pDXW-8-ilvBN1-ilvA1-ppnk1, and IWJ001/pDXW-8-ppnk1-ilvBN1-ilvA1-lrp-brnFE were constructed, and L-isoleucineproduction and activities of several key enzymes in thesestrains were analyzed. Compared with the control strainIWJ001/pDXW-8, L-isoleucine production increased in allof the four strains. IWJ001/pDXW-8-ilvBN1-ilvA1-ppnk1showed the highest L-isoleucine production and produced32.3 g/L L-isoleucine in 72 h fed batch fermentation. Theresults indicate that L-isoleucine production in C. glutamicumcould be increased by enhancing the carbon flux andNADPH supply in the biosynthetic pathway.
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Zhenqiang Bao,Xiaoqing Ren,Yulu Yang,Junwu Zhu,Cheng Wang,Richao Yin 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.7
Since that a job usually contains several working procedures in actual production, and it’s hard to optimize the flexible collaborative planning, the flexible lot splitting and scheduling of the job simultaneously in batch production mode, a model for multi-objective integration of flexible collaborative planning and fuzzy lot-splitting scheduling is established. We take four performance indicators below which are the most common as standards to optimize the model: average delivery satisfaction, fuzzy total cost, fuzzy completion time and average credibility of job tardiness, and then a multi-objective algorithm based on the Pareto optimal is established. In this algorithm, we design the integrated coding scheme, which include collaboration chromosome, lot-splitting chromosome and scheduling chromosome, meanwhile the Pareto optimal scheme is designed. Finally, the efficiency of the model and algorithm is proved by the simulation.
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