請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/4448
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 張智星 | |
dc.contributor.author | Weng Chong Lei | en |
dc.contributor.author | 李穎忠 | zh_TW |
dc.date.accessioned | 2021-05-14T17:42:19Z | - |
dc.date.available | 2015-08-25 | |
dc.date.available | 2021-05-14T17:42:19Z | - |
dc.date.copyright | 2015-08-25 | |
dc.date.issued | 2015 | |
dc.date.submitted | 2015-08-18 | |
dc.identifier.citation | [1] J. C. Crocker and D. G. Grier, “Methods of digital video microscopy for colloidal studies,” Journal of Colloid and Interface Science, vol. 179, no. 1, pp. 298–310, 1996.
[2] K. Jaqaman, D. Loerke, M. Mettlen, H. Kuwata, S. Grinstein, S. L. Schmid, and G. Danuser, “Robust single-particle tracking in live-cell time-lapse sequences,” Nature Methods, vol. 5, no. 8, pp. 695–702, 2008. [3] P. J. Lu, P. A. Sims, H. Oki, J. B. Macarthur, and D. A. Weitz, “Target-locking acquisition with real-time confocal (TARC) microscopy,” Optics Express, vol. 15, pp. 8702–8712, 2007. [4] I. Sbalzarini and P. Koumoutsakos, “Feature point tracking and trajectory analysis for video imaging in cell biology,” Journal of Structural Biology, vol. 151, no. 2, pp. 182–195, 2005. [5] N. Chenouard, I. Smal, F. de Chaumont, M. Maska, I. F. Sbalzarini, Y. Gong, J. Cardinale, C. Carthel, S. Coraluppi, M. Winter, A. R. Cohen, W. J. Godinez, K. Rohr, Y. Kalaidzidis, L. Liang, J. Duncan, H. Shen, Y. Xu, K. E. G. Magnusson, J. Jalden, H. M. Blau, P. Paul-Gilloteaux, P. Roudot, C. Kervrann, F. Waharte, J.-Y. Tinevez, S. L. Shorte, J. Willemse, K. Celler, G. P. van Wezel, H.-W. Dan, Y.-S. Tsai, C. O. de Solorzano, J.-C. Olivo-Marin, and E. Meijering, “Objective comparison of particle tracking methods,” Nature Methods, vol. 11, no. 3, pp. 281–289, Mar. 2014. [6] J. Yuen, B. C. Russell, C. Liu, and A. Torralba, “LabelMe video: Building a video database with human annotations,” in International Conference on Computer Vision (ICCV), 2009, pp. 1451–1458. [7] A. M. Buchanan and A. W. Fitzgibbon, “Interactive feature tracking using K-D trees and dynamic programming,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006, vol. 1, pp. 626–633. [8] C. Vondrick and D. Ramanan, “Video annotation and tracking with active learning,” in Neural Information Processing Systems (NIPS), 2011, pp. 28–36. [9] C. Vondrick, D. Ramanan, and D. Patterson, “Efficiently scaling up video annotation with crowdsourced marketplaces,” in European Conference on Computer Vision (ECCV), 2010, pp. 610–623. [10] A. Yao, J. Gall, C. Leistner, and L. Van Gool, “Interactive object detection,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012, pp. 3242–3249. [11] K. Zhang, L. Zhang, Q. Liu, D. Zhang, and M.-H. Yang, “Fast visual tracking via dense spatio-temporal context learning,” in European Conference on Computer Vision (ECCV), 2014, pp. 127–141. [12] D. S. Bolme, J. R. Beveridge, B. A. Draper, and Y. M. Lui, “Visual object tracking using adaptive correlation filters,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, pp. 2544–2550. [13] J. F. Henriques, R. Caseiro, P. Martins, and J. Batista, “High-speed tracking with kernelized correlation filters,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 3, pp. 583–596, 2015. [14] J. F. Henriques, R. Caseiro, P. Martins, and J. Batista, “Exploiting the circulant structure of tracking-by-detection with kernels,” in European Conference on Computer Vision (ECCV), 2012, pp. 702–715. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/4448 | - |
dc.description.abstract | DNA解煉曲線分析是一種研究DNA序列變異的重要技術,但是研究人員必須標記螢光顯微鏡拍下的實驗影片才能得到實驗數據,這是一個很花時間的工作。本論文提出一個互動式的影片標記系統,這系統利用粒子追蹤方法自動替使用者標記實驗影片,並設有互動機制,讓使用者只需要標記一小部分,就可以完成整個標記工作。我們的系統經過實驗驗證其有效性。 | zh_TW |
dc.description.abstract | DNA melting curve analysis is an important technique for the detection of DNA sequence variants. However, it requires object annotation in video from fluorescence microscopy, which is tedious. In this thesis, we present an interactive video annotation system that tracks the particles in video interactively and provides all the labels with little manual effort. Evaluations on realistic video data demonstrate the effectiveness of our system. | en |
dc.description.provenance | Made available in DSpace on 2021-05-14T17:42:19Z (GMT). No. of bitstreams: 1 ntu-104-R01922146-1.pdf: 2816400 bytes, checksum: 0e7777c87b3e037138092eb8ac076eb8 (MD5) Previous issue date: 2015 | en |
dc.description.tableofcontents | 口試委員會審定書 i
中文摘要 ii ABSTRACT iii 目錄 iv 圖目錄 vi 表目錄 ix 1 導論 1 1.1 研究動機 1 1.2 相關研究 2 1.3 論文架構 3 2 影片特性 4 3 系統設計 7 3.1 粒子圓心位置和半徑的估計方法 7 3.2 粒子追蹤 10 3.2.1 相關濾波器追蹤法 11 3.2.2 正規化互相關比對法 15 3.2.3 結合正規化互相關比對法和線性外推法 16 3.3 互動式標記方法 19 4 實驗 23 4.1 調整系統參數 25 4.2 實驗結果 34 4.3 錯誤分析 37 5 總結 40 參考文獻 41 | |
dc.language.iso | zh-TW | |
dc.title | 應用於DNA解煉曲線分析的高效互動式粒子追蹤方法 | zh_TW |
dc.title | An Effective & Interactive Approach to Particle Tracking for DNA Melting Curve Analysis | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 盧彥文,葉梅珍 | |
dc.subject.keyword | DNA解煉曲線分析,影片標記,粒子追蹤, | zh_TW |
dc.subject.keyword | DNA melting curve analysis,Video annotation,Particle tracking, | en |
dc.relation.page | 42 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2015-08-18 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
顯示於系所單位: | 資訊工程學系 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-104-1.pdf | 2.75 MB | Adobe PDF | 檢視/開啟 |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。