Perspective registration and multi-frame super-resolution of license plates in surveillance videos
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Marco Fontani | Sergio Carrato | Gabriele Guarnieri | Martino Jerian | Francesco Guzzi | Sergio Carrato | Francesco Guzzi | M. Fontani | G. Guarnieri | M. Jerian
[1] Lin Luo,et al. Location and Super-Resolution Enhancement of License Plates Based on Video Sequences , 2009, 2009 First International Conference on Information Science and Engineering.
[2] Liming Chen,et al. Unifying Approach for Fast License Plate Localization and Super-Resolution , 2010, 2010 20th International Conference on Pattern Recognition.
[3] Jan Kautz,et al. Loss Functions for Image Restoration With Neural Networks , 2017, IEEE Transactions on Computational Imaging.
[4] Ying Liu,et al. A License Plate Super-resolution Reconstruction Algorithm Based on Manifold Learning , 2014, 2014 IEEE 17th International Conference on Computational Science and Engineering.
[5] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[6] Klamer Schutte,et al. Super-Resolution on Moving Objects and Background , 2006, 2006 International Conference on Image Processing.
[7] Seoung Wug Oh,et al. Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[8] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[9] Yang Yang,et al. License Plate Image Super-Resolution Based on Convolutional Neural Network , 2018, 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC).
[10] Shaharyar Ahmed Khan Tareen,et al. A comparative analysis of SIFT, SURF, KAZE, AKAZE, ORB, and BRISK , 2018, 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET).
[11] P. Moral. Nonlinear filtering : Interacting particle resolution , 1997 .
[12] Hélio Pedrini,et al. A learning-based single-image super-resolution method for very low quality license plate images , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[13] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[14] Michal Irani,et al. Improving resolution by image registration , 1991, CVGIP Graph. Model. Image Process..
[15] Ravi Subban,et al. Compressive object tracking — A review and analysis , 2014 .
[16] Larry D. Hostetler,et al. The estimation of the gradient of a density function, with applications in pattern recognition , 1975, IEEE Trans. Inf. Theory.
[17] Klamer Schutte,et al. Super-Resolution on small moving objects , 2008, 2008 15th IEEE International Conference on Image Processing.
[18] Giovanni Ramponi,et al. A Robust Tracking Algorithm for Super-Resolution Reconstruction of Vehicle License Plates , 2014, ApplePies.
[19] Christian Ledig,et al. Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Frédéric Champagnat,et al. Fast super-resolution on moving objects in video sequences , 2008, 2008 16th European Signal Processing Conference.
[21] Meng Zhang,et al. Selection-Based Subpixel-Shifted Images Super-Resolution , 2019, IEEE Access.
[22] Qigang Gao,et al. Real-time license plate identification by perceptual shape grouping and tracking , 2006, 2006 IEEE Intelligent Transportation Systems Conference.
[23] A. J. Shah,et al. Image super resolution-A survey , 2012, 2012 1st International Conference on Emerging Technology Trends in Electronics, Communication & Networking.
[24] Minghui Zhang,et al. Joint License Plate Super-Resolution and Recognition in One Multi-Task Gan Framework , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[25] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[26] Gary Bradski,et al. Computer Vision Face Tracking For Use in a Perceptual User Interface , 1998 .
[27] Simon Baker,et al. Lucas-Kanade 20 Years On: A Unifying Framework , 2004, International Journal of Computer Vision.
[28] Saeid Nahavandi,et al. Performance Evaluation of Multi-Frame Super-Resolution Algorithms , 2012, 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA).
[29] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[30] Kalyan Kumar Hati,et al. Review and improvement areas of mean shift tracking algorithm , 2014, The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014).
[31] Moon Gi Kang,et al. Super-resolution image reconstruction: a technical overview , 2003, IEEE Signal Process. Mag..
[32] William T. Freeman,et al. Learning Low-Level Vision , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[33] Juhyun Lee,et al. Accurate License Plate Recognition and Super-Resolution Using a Generative Adversarial Networks on Traffic Surveillance Video , 2018, 2018 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia).
[34] Yu-Wing Tai,et al. Lucas-Kanade image registration using camera parameters , 2011, Electronic Imaging.
[35] Mahmood Fathy,et al. Precise Image Registration with Structural Similarity Error Measurement Applied to Superresolution , 2009, EURASIP J. Adv. Signal Process..
[36] Jean-Michel Morel,et al. An Analysis of the Factors Affecting Keypoint Stability in Scale-Space , 2016, Journal of Mathematical Imaging and Vision.
[37] Hubert Konik,et al. CAMSHIFT improvement on multi-hue and multi-object tracking , 2011, Proceedings of the 2011 International Conference on Electrical Engineering and Informatics.
[38] Subramaniam Ganesan,et al. An efficient implementation of the Hough transform for detecting vehicle license plates using DSP'S , 1995, Proceedings Real-Time Technology and Applications Symposium.
[39] Gary R. Bradski,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[40] Zhou Wang,et al. Complex Wavelet Structural Similarity: A New Image Similarity Index , 2009, IEEE Transactions on Image Processing.
[41] Bhaskar Choubey,et al. Vehicle speed estimation from tracking license plates , 2015, 2015 23rd Telecommunications Forum Telfor (TELFOR).
[42] Luc Van Gool,et al. NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[43] Siome Goldenstein,et al. Eyes on the Target: Super-Resolution and License-Plate Recognition in Low-Quality Surveillance Videos , 2017, IEEE Access.
[44] Sunil Karamchandani,et al. Review of Mean Shift Algorithm and its Improvements , 2015 .
[45] Kenneth Tze Kin Teo,et al. Multiple Vehicles License Plate Tracking and Recognition via Isotropic Dilation , 2011, 2011 Third International Conference on Computational Intelligence, Communication Systems and Networks.
[46] Kai-Kuang Ma,et al. A survey on super-resolution imaging , 2011, Signal Image Video Process..
[47] Jan Flusser,et al. Image registration methods: a survey , 2003, Image Vis. Comput..
[48] Michael Elad,et al. Fast and robust multiframe super resolution , 2004, IEEE Transactions on Image Processing.
[49] Bernhard Schölkopf,et al. EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[50] Marc Levoy,et al. Handheld multi-frame super-resolution , 2019, ACM Trans. Graph..
[51] Thomas S. Huang,et al. Multiframe image restoration and registration , 1984 .
[52] Aggelos K. Katsaggelos,et al. Video Super-Resolution With Convolutional Neural Networks , 2016, IEEE Transactions on Computational Imaging.
[53] A. N. Rajagopalan,et al. Superresolution of License Plates in Real Traffic Videos , 2007, IEEE Transactions on Intelligent Transportation Systems.
[54] Akram M. Zeki,et al. Regularization-based multi-frame super-resolution: A systematic review , 2020, J. King Saud Univ. Comput. Inf. Sci..
[55] Christian Riess,et al. Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[56] Wan-Chi Siu,et al. Review of image interpolation and super-resolution , 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.
[57] Soheil Darabi,et al. Compressive image super-resolution , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.
[58] Jie Li,et al. Image super-resolution: The techniques, applications, and future , 2016, Signal Process..
[59] G. Ramponi,et al. Minimum-Error Splitting Algorithm for a Dual Layer LCD Display—Part II: Implementation and Results , 2008, Journal of Display Technology.
[60] Giovanni Ramponi,et al. High Dynamic Range Image Display With Halo and Clipping Prevention , 2011, IEEE Transactions on Image Processing.
[61] Simon J. Godsill,et al. On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..