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Journal articles on the topic 'Kanade'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Lucey, Simon, Rajitha Navarathna, Ahmed Bilal Ashraf, and Sridha Sridharan. "Fourier Lucas-Kanade Algorithm." IEEE Transactions on Pattern Analysis and Machine Intelligence 35, no. 6 (2013): 1383–96. http://dx.doi.org/10.1109/tpami.2012.220.

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2

Ahmine, Yassine, Guillaume Caron, El Mustapha Mouaddib, and Fatima Chouireb. "Adaptive Lucas-Kanade tracking." Image and Vision Computing 88 (August 2019): 1–8. http://dx.doi.org/10.1016/j.imavis.2019.04.004.

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3

Pradana, Aditya, Erick Paulus, and Deni Setiana. "Deteksi Wajah dengan Berbagai Posisi Sudut pada Sekumpulan Orang dengan Membandingkan Metode Viola-Jones dan Kanade-Lucas-Tomasi." Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) 5, no. 3 (2016): 136. http://dx.doi.org/10.23887/janapati.v5i3.9920.

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Penelitian ini berisikan tentang sistem deteksi wajah pada gambar yang terdiri dari berbagai posisi wajah pada sekumpulan orang. Metode yang digunakan adalah Kanade- Lucas-Tomasi dan Viola-Jones. Metode Viola-Jones memiliki tingkat keakuratan cukup tinggi, di atas 90%. Metode Kanade- Lucas-Tomasi juga memiliki tingkat keakuratan yang baik, namun membutuhkan waktu lebih lama untuk mendeteksi wajah dibandingkan metode Viola-Jones. Deteksi wajah diperlukan untuk mengetahui jumlah orang dalam sebuah kerumunan, karena bagian kepala biasanya terlihat dalam kerumunan yang penuh sesak. Data penelitian

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4

Hosseinyalamdary, S., and A. Yilmaz. "Motion Vector Field Estimation Using Brightness Constancy Assumption and Epipolar Geometry Constraint." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-1 (November 7, 2014): 9–16. http://dx.doi.org/10.5194/isprsannals-ii-1-9-2014.

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In most Photogrammetry and computer vision tasks, finding the corresponding points among images is required. Among many, the Lucas-Kanade optical flow estimation has been employed for tracking interest points as well as motion vector field estimation. This paper uses the IMU measurements to reconstruct the epipolar geometry and it integrates the epipolar geometry constraint with the brightness constancy assumption in the Lucas-Kanade method. The proposed method has been tested using the KITTI dataset. The results show the improvement in motion vector field estimation in comparison to the Lucas

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5

Pinto, Andry Maykol G., A. Paulo Moreira, Paulo G. Costa, and Miguel V. Correia. "Revisiting Lucas-Kanade and Horn-Schunck." Journal of Computer Engineering and Informatics 1, no. 2 (2013): 23–29. http://dx.doi.org/10.5963/jcei0102001.

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6

Ghalenoei, E., M. A. Sharifi, and M. Hasanlou. "Investigation of Optical Flow Techniques for Extracting Non-Rigid Sea Surface Currents." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2/W3 (October 22, 2014): 121–26. http://dx.doi.org/10.5194/isprsarchives-xl-2-w3-121-2014.

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This paper is about performance evaluation of two optical flow (OF) methods for extracting sea surface curved motions like eddies. By incorporating a simple matrix and its rotation in programming procedure, curved motion can be obtained. These two OF methods are Horn/Schunk and Lucas/Kanade. The Horn/Schunk method depends on a smoothness parameter (α) and when it changes, smoothness and reality change too. The Lucas/Kanade method is more complex than previous one. It depends on two parameters, smoothness parameter (Sigma) and window size (Win). Different values for Win and Sigma change smoothn

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7

Patel, Dhara, and Saurabh Upadhyay. "Optical Flow Measurement using Lucas Kanade Method." International Journal of Computer Applications 61, no. 10 (2013): 6–10. http://dx.doi.org/10.5120/9962-4611.

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8

Schreiber, David. "Incorporating symmetry into the Lucas–Kanade framework." Pattern Recognition Letters 30, no. 7 (2009): 690–98. http://dx.doi.org/10.1016/j.patrec.2009.01.003.

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9

Chern, Shane, and Zhitai Li. "Linked partition ideals and Kanade–Russell conjectures." Discrete Mathematics 343, no. 7 (2020): 111876. http://dx.doi.org/10.1016/j.disc.2020.111876.

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10

Antonakos, Epameinondas, Joan Alabort-i-Medina, Georgios Tzimiropoulos, and Stefanos P. Zafeiriou. "Feature-Based Lucas–Kanade and Active Appearance Models." IEEE Transactions on Image Processing 24, no. 9 (2015): 2617–32. http://dx.doi.org/10.1109/tip.2015.2431445.

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11

Yegavian, Robin, Benjamin Leclaire, Frédéric Champagnat, Cédric Illoul, and Gilles Losfeld. "Lucas–Kanade fluid trajectories for time-resolved PIV." Measurement Science and Technology 27, no. 8 (2016): 084004. http://dx.doi.org/10.1088/0957-0233/27/8/084004.

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12

Sharmin, Nusrat, and Remus Brad. "Optimal Filter Estimation for Lucas-Kanade Optical Flow." Sensors 12, no. 9 (2012): 12694–709. http://dx.doi.org/10.3390/s120912694.

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13

Baker, Simon, and Iain Matthews. "Lucas-Kanade 20 Years On: A Unifying Framework." International Journal of Computer Vision 56, no. 3 (2004): 221–55. http://dx.doi.org/10.1023/b:visi.0000011205.11775.fd.

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14

Tran, Quoc-Viet, Shun-Feng Su, and Van-Truong Nguyen. "Pyramidal Lucas—Kanade-Based Noncontact Breath Motion Detection." IEEE Transactions on Systems, Man, and Cybernetics: Systems 50, no. 7 (2020): 2659–70. http://dx.doi.org/10.1109/tsmc.2018.2825458.

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15

Kurşungöz, Kağan. "Andrews–Gordon Type Series for Kanade–Russell Conjectures." Annals of Combinatorics 23, no. 3-4 (2019): 835–88. http://dx.doi.org/10.1007/s00026-019-00470-7.

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16

Miljković, Ivo. "Istraživanje kemijskog sastava i kvalitete plodova sorti jabuka na M podlogama." Pomologia Croatica 22, no. 3-4 (2019): 96–107. http://dx.doi.org/10.33128/pc.22.3-4.3.

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Istraživanje kemijskog sastava i kvalitete plodova sedam sorti jabuka na šest M podloga obavljena su tijekom dvije godine u pokusnom voćnjaku na Fakultetskom pokusnom i nastavnom dobru Jazbina kraj Zagreba. Istraživanja su provođena na sortama: Boskoop, Kanada, Jonathan, London pepping, Ljepocvjetka, Mašanka i Zlatna zimska parmenka cijepljenih na podlogama: M 1, M 2, M 4, M 5, M 9 i M 11. Pokusni voćnjak podignut je po metodi randomiziranog bloka u četiri repeticije. U svakoj repeticiji bilo je zastupljeno po pet stabala u kombinaciji sorta podloga, odnosno 20 stabala svake sorte na svakoj po

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17

Schreiber, David. "Generalizing the Lucas–Kanade algorithm for histogram-based tracking." Pattern Recognition Letters 29, no. 7 (2008): 852–61. http://dx.doi.org/10.1016/j.patrec.2007.12.014.

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18

Shukla, Dolley, and Ekta Patel. "Speed Determination of Moving Vehicles using Lucas-Kanade Algorithm." International Journal of Computer Applications Technology and Research 2, no. 1 (2012): 32–36. http://dx.doi.org/10.7753/ijcatr0201.1007.

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19

Niu, Yan, Zhiwen Xu, and Xiangjiu Che. "Dynamically Removing False Features in Pyramidal Lucas-Kanade Registration." IEEE Transactions on Image Processing 23, no. 8 (2014): 3535–44. http://dx.doi.org/10.1109/tip.2014.2331140.

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20

Lee, InBum, ByungHun Choi, and Kwang Suk Park. "Robust measurement of ocular torsion using iterative Lucas–Kanade." Computer Methods and Programs in Biomedicine 85, no. 3 (2007): 238–46. http://dx.doi.org/10.1016/j.cmpb.2006.12.001.

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21

Ni, Weiyuan, Ngoc-Son Vu, and Alice Caplier. "Lucas–Kanade based entropy congealing for joint face alignment." Image and Vision Computing 30, no. 12 (2012): 954–65. http://dx.doi.org/10.1016/j.imavis.2012.08.016.

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22

Yao, Siyuan, Xiaoguang Han, Hua Zhang, Xiao Wang, and Xiaochun Cao. "Learning Deep Lucas-Kanade Siamese Network for Visual Tracking." IEEE Transactions on Image Processing 30 (2021): 4814–27. http://dx.doi.org/10.1109/tip.2021.3076272.

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23

Supriyatin, Wahyu. "ANALISIS PERBANDINGAN PELACAKAN OBJEK MENGGUNAKAN ALGORITMA HORN-SCHUNCK DAN LUCAS-KANADE." Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika 17, no. 2 (2020): 362–71. http://dx.doi.org/10.33751/komputasi.v17i2.2146.

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Object tracking one of computer vision. Computer vision similar to human eye function. The difficulty is to detect presence an object and object tracking application made. Object tracking used in aircraft, track cars, human body detectors at airports, a regulator the number of vehicles pass and navigation tools on robots. This study is to identify objects that pass in frame. This research also count the number of objects that pass in one frame. Object tracking done by comparing two algorithms namely Horn-Schunck and Lucas-Kanade. Both algorithms tested using the Source Block Parameter and Func

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24

Hariani, Rina, and Nurul Fadillah. "Deteksi Kehadiran Mahasiswa Secara Realtime Menggunakan Webcam dengan metode Viola Jones." InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) 3, no. 2 (2019): 151–54. http://dx.doi.org/10.30743/infotekjar.v3i2.1030.

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Pelaksanaan pengisian daftar kehadiran secara manual dapat menjadi penghambat bagi universitas untuk memantau kedisiplinan mahasiswa. Sistem kehadiran manual dapat diganti dengan sistem kehadiran terkomputerisasi yang mendasarkan proses identifikasi mahasiswa. Absensi adalah suatu pendataan kehadiran, bagian dari pelaporan aktivitas suatu institusi, atau komponen institusi itu sendiri yang berisi data-data kehadiran yang disusun dan diatur sedemikian rupa sehingga mudah untuk dicari dan dipergunakan apabila sewaktu-waktu diperlukan oleh pihak yang berkepentingan.Aplikasi komputer yang dikemban

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25

Zhang, Xiaoli, Punan Li, and Yibing Li. "Feature Point Extraction and Motion Tracking of Cardiac Color Ultrasound under Improved Lucas–Kanade Algorithm." Journal of Healthcare Engineering 2021 (August 3, 2021): 1–10. http://dx.doi.org/10.1155/2021/4959727.

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The purpose of this research is to study the application effect of Lucas–Kanade algorithm in right ventricular color Doppler ultrasound feature point extraction and motion tracking under the condition of scale invariant feature transform (SIFT). This study took the right ventricle as an example to analyze the extraction effect and calculation rate of SIFT algorithm and improved Lucas–Kanade algorithm. It was found that the calculation time before and after noise removal by the SIFT algorithm was 0.49 s and 0.46 s, respectively, and the number of extracted feature points was 703 and 698, respec

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26

EVANGELIDIS, GEORGIOS D., and EMMANOUIL Z. PSARAKIS. "AN ECC-BASED ITERATIVE ALGORITHM FOR PHOTOMETRIC INVARIANT PROJECTIVE REGISTRATION." International Journal on Artificial Intelligence Tools 18, no. 01 (2009): 121–39. http://dx.doi.org/10.1142/s021821300900007x.

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The ability of an algorithm to accurately estimate the parameters of the geometric transformation which aligns two image profiles even in the presence of photometric distortions can be considered as a basic requirement in many computer vision applications. Projective transformations constitute a general class which includes as special cases the affine, as well as the metric subclasses of transformations. In this paper the applicability of a recently proposed iterative algorithm, which uses the Enhanced Correlation Coefficient as a performance criterion, in the projective image registration pro

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27

Aashish, Kamath, and A. Vijayalakshmi. "Comparison of Viola-Jones And Kanade-Lucas-Tomasi Face Detection Algorithms." Oriental journal of computer science and technology 10, no. 1 (2017): 151–59. http://dx.doi.org/10.13005/ojcst/10.01.20.

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Face detection technologies are used in a large variety of applications like advertising, entertainment, video coding, digital cameras, CCTV surveillance and even in military use. It is especially crucial in face recognition systems. You can’t recognise faces that you can’t detect, right? But a single face detection algorithm won’t work in the same way in every situation. It all comes down to how the algorithm works. For example, the Kanade-Lucas-Tomasi algorithm makes use of spatial common intensity transformation to direct the deep search for the position that shows the best match. It is muc

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28

Dowson, N., and R. Bowden. "Mutual Information for Lucas-Kanade Tracking (MILK): An Inverse Compositional Formulation." IEEE Transactions on Pattern Analysis and Machine Intelligence 30, no. 1 (2008): 180–85. http://dx.doi.org/10.1109/tpami.2007.70757.

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29

Liu Xinyu, 刘昕宇, 闫铮 Yan Zheng, 段放 Duan Fang, and 戴中颖 Dai Zhongying. "Tracking of Human Respiratory Motion Based on Kanade-Lucas-Tomasi Algorithm." Laser & Optoelectronics Progress 57, no. 22 (2020): 221001. http://dx.doi.org/10.3788/lop57.221001.

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30

Hoog Antink, Christoph Bernhard, Tarunraj Singh, Puneet Singla, and Matthew Podgorsak. "Evaluation of advanced Lukas–Kanade optical flow on thoracic 4D-CT." Journal of Clinical Monitoring and Computing 27, no. 4 (2013): 433–41. http://dx.doi.org/10.1007/s10877-013-9454-5.

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31

Mella, DA, W. Brevis, JE Higham, V. Racic, and L. Susmel. "Image-based tracking technique assessment and application to a fluid–structure interaction experiment." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 16 (2019): 5724–34. http://dx.doi.org/10.1177/0954406219853852.

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This work analyses the accuracy and capabilities of two image-based tracking techniques related to digital image correlation and the Lucas–Kanade optical flow method, with the subsequent quantification of body motion in a fluid–structure interaction experiment. A computer-controlled shaker was used as a benchmark case to create a one-dimensional oscillatory target motion. Three target frequencies were recorded. The measurements obtained with a low-cost digital camera were compared to a high-precision motion tracking system. The comparison was performed under changes in image resolution, target

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32

Peng, Yahui, Xiaochen Liu, Chong Shen, et al. "An Improved Optical Flow Algorithm Based on Mask-R-CNN and K-Means for Velocity Calculation." Applied Sciences 9, no. 14 (2019): 2808. http://dx.doi.org/10.3390/app9142808.

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Aiming at enhancing the accuracy and reliability of velocity calculation in vision navigation, an improved method is proposed in this paper. The method integrates Mask-R-CNN (Mask Region-based Convolutional Neural Network) and K-Means with the pyramid Lucas Kanade algorithm in order to reduce the harmful effect of moving objects on velocity calculation. Firstly, Mask-R-CNN is used to recognize the objects which have motions relative to the ground and covers them with masks to enhance the similarity between pixels and to reduce the impacts of the noisy moving pixels. Then, the pyramid Lucas Kan

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33

Bringmann, Kathrin, Chris Jennings-Shaffer, and Karl Mahlburg. "Proofs and reductions of various conjectured partition identities of Kanade and Russell." Journal für die reine und angewandte Mathematik (Crelles Journal) 2020, no. 766 (2020): 109–35. http://dx.doi.org/10.1515/crelle-2019-0012.

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AbstractWe prove seven of the Rogers–Ramanujan-type identities modulo 12 that were conjectured by Kanade and Russell. Included among these seven are the two original modulo 12 identities, in which the products have asymmetric congruence conditions, as well as the three symmetric identities related to the principally specialized characters of certain level 2 modules of {A_{9}^{(2)}}. We also give reductions of four other conjectures in terms of single-sum basic hypergeometric series.

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34

KANATANI, KENICHI. "MOTION SEGMENTATION BY SUBSPACE SEPARATION: MODEL SELECTION AND RELIABILITY EVALUATION." International Journal of Image and Graphics 02, no. 02 (2002): 179–97. http://dx.doi.org/10.1142/s0219467802000585.

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Reformulating the Costeira–Kanade algorithm as a pure mathematical theorem, we present a robust segmentation procedure, which we call subspace separation, by incorporating model selection using the geometric AIC. We then study the problem of estimating the number of independent motions using model selection. Finally, we present criteria for evaluating the reliability of individual segmentation results. Again, model selection plays an important role. We confirm the effectiveness of our method by experiments using synthetic and real images.

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35

Li, Ling, Zhengwei He, Sheng Chen, et al. "Subpixel-Based Precipitation Nowcasting with the Pyramid Lucas–Kanade Optical Flow Technique." Atmosphere 9, no. 7 (2018): 260. http://dx.doi.org/10.3390/atmos9070260.

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Short-term high-resolution quantitative precipitation forecasting (QPF) is very important for flash-flood warning, navigation safety, and other hydrological applications. This paper proposes a subpixel-based QPF algorithm using a pyramid Lucas–Kanade optical flow technique (SPLK) for short-time rainfall forecast. The SPLK tracks the storm on the subpixel level by using the optical flow technique and then extrapolates the precipitation using a linear method through redistribution and interpolation. The SPLK compares with object-based and pixel-based nowcasting algorithms using eight thunderstor

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36

Mahalingam, Venkataraman, Koustav Bhattacharya, Nagarajan Ranganathan, Hari Chakravarthula, Robin Roberson Murphy, and Kevin Sheldon Pratt. "A VLSI Architecture and Algorithm for Lucas–Kanade-Based Optical Flow Computation." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 18, no. 1 (2010): 29–38. http://dx.doi.org/10.1109/tvlsi.2008.2006900.

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37

Price, Keith. "Book review: Three-Dimensional Machine Vision by Takeo Kanade (Kluwer Academic Publishers)." ACM SIGART Bulletin, no. 103 (January 3, 1988): 23. http://dx.doi.org/10.1145/44418.1057647.

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38

Lin, Yih-Lon. "Least Trimmed Squares Approach to Lucas-Kanade Algorithm in Object Tracking Problems." Mathematical Problems in Engineering 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/324824.

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The object tracking problem is an important research topic in computer vision. For real applications such as vehicle tracking and face tracking, there are many efficient and real-time algorithms. In this study, we will focus on the Lucas-Kanade (LK) algorithm for object tracking. Although this method is time consuming, it is effective in tracking accuracy and environment adaptation. In the standard LK method, the sum of squared errors is used as the cost function, while least trimmed squares is adopted as the cost function in this study. The resulting estimator is robust against outliers cause

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39

Qin, Yueming. "Convergence Acceleration for Lucas-Kanade Algorithm via Discarding Strongly Concave/Convex Areas." Journal of Information and Computational Science 11, no. 2 (2014): 433–47. http://dx.doi.org/10.12733/jics20102733.

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40

Bruhn, Andrés, Joachim Weickert, and Christoph Schnörr. "Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods." International Journal of Computer Vision 61, no. 3 (2005): 1–21. http://dx.doi.org/10.1023/b:visi.0000045324.43199.43.

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41

Plyer, Aurélien, Guy Le Besnerais, and Frédéric Champagnat. "Massively parallel Lucas Kanade optical flow for real-time video processing applications." Journal of Real-Time Image Processing 11, no. 4 (2014): 713–30. http://dx.doi.org/10.1007/s11554-014-0423-0.

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42

Wang, Lu, Yafeng Zhang, Xiaohong Lin, and Zheng Yan. "Study of lumbar spine activity regularity based on Kanade-Lucas-Tomasi algorithm." Biomedical Signal Processing and Control 49 (March 2019): 465–72. http://dx.doi.org/10.1016/j.bspc.2018.12.023.

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43

Chen, Zhih-Wei, Cheng-Chin Chiang, and Zi-Tian Hsieh. "Extending 3D Lucas–Kanade tracking with adaptive templates for head pose estimation." Machine Vision and Applications 21, no. 6 (2009): 889–903. http://dx.doi.org/10.1007/s00138-009-0222-y.

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44

Hidayat, Nanda Maulana. "Aplikasi Augmented Reality Perlengkapan Militer Menggunakan Algoritma FAST Corner Dan Lucas Kanade." JATISI (Jurnal Teknik Informatika dan Sistem Informasi) 8, no. 3 (2021): 1417–28. http://dx.doi.org/10.35957/jatisi.v8i3.1060.

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Pengetahuan mengenai perlengkapan kemiliteran tidak hanya diperoleh melalui pameran saja, dengan adanya perkembangan teknologi informasi bisa diperoleh melalui aplikasi. Penggunaan aplikasi augmented reality dapat dijadikan contoh dalam pengetahuan perlengkapan militer secara tiga dimensi. Perancangan ini bertujuan memberikan pengetahuan kepada masyarakat umum dengan menggunakan teknologi Augmented Reality. Perancangan ini menggunakan metode ADDIE dan algoritma FAST Corner dan Lucas Kanade. Perancangan ini menghasilkan sebuah aplikasi yang berisi pengenalan perlengkapan militer yang terdiri da

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45

Rahmawati, Lailia. "Deteksi Abnormality Dengan Menggunakan Algortima KLT Pada Citra Video CCTV." Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan 8, no. 2 (2017): 67–72. http://dx.doi.org/10.32492/jintake.v8i2.693.

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Deteksi Abnormality pada citra video CCTV yang ditunjukan pada individu tertentu atau suatu objek tertentu dimana gerakan diangkap minoritas. Penggunaan Algoritma KLT (Kanade-Lucas-Tomasi) sebagai Algortima Tracing hasil video yang sudah dilakukan proses Spektral Residual yang bertujuan menghasilkan gerakan global yang mengalokasikan daerah yang menarik. Dari hasil perbandingan tersebut diketahui bahwa jumlah piksel pada deteksi bergerak lebih kecil dari deteksi yang tidak bergerak. Maka hasilnya adalah yang ,minoritas abnormal adalah ada objek yang bergerak sendiri dibandingkan dengan objek-o

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46

Shen, Lu Rong, Xia Bin Dong, Rui Tao Lu, Yong Bin Zheng, and Xin Sheng Huang. "Robust Spatial-Color Feature with New Similarity Measure and Adaptive Template Update for Mean-Shift Tracking." Applied Mechanics and Materials 321-324 (June 2013): 1021–29. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1021.

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In this paper, we analyze the object tracking task of mean-shift algorithm. A spatial-color and similarity based mean-shift tracking algorithm is proposed. The spatial-color feature is used to replace the color histogram, and an enhanced algorithm is derived by adopting a new similarity measure. We also introduce Lucas-Kanade algorithm to design a template update strategy, propose a template update algorithm for mean-shift. Experimental results show that these two improved mean-shift tracking algorithms have high tracking accuracy and good robustness to the change of appearance of the object.

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47

Chao Cheng, 程超, 达飞鹏 Feipeng Da, 王辰星 Chenxing Wang, and 姜昌金 Changjin Jiang. "Pose Invariant Face Recognition Using Maximum Gabor Similarity Based on Lucas-Kanade Algorithm." Acta Optica Sinica 39, no. 7 (2019): 0715005. http://dx.doi.org/10.3788/aos201939.0715005.

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48

Mondragón, Román, Joaquín Alonso-Montesinos, David Riveros-Rosas, and Roberto Bonifaz. "Determination of Cloud Motion Applying the Lucas-Kanade Method to Sky Cam Imagery." Remote Sensing 12, no. 16 (2020): 2643. http://dx.doi.org/10.3390/rs12162643.

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The atmospheric conditions existing where concentrated solar power plants (CSP) are installed need to be carefully studied. A very important reason for this is because the presence of clouds causes drops in electricity generated from solar energy. Therefore, forecasting the cloud displacement trajectory in real time is one of the functions and tools that CSP operators must develop for plant optimization, and to anticipate drops in solar irradiance. For short forecast of cloud movement (10 min) is enough with describe the cloud advection while for longer forecast (over 15 min), it is necessary

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49

Guo, Jie, Chang’an Zhu, Siliang Lu, Dashan Zhang, and Chunyu Zhang. "Vision-based measurement for rotational speed by improving Lucas–Kanade template tracking algorithm." Applied Optics 55, no. 25 (2016): 7186. http://dx.doi.org/10.1364/ao.55.007186.

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Chen, Lei, Hua Yang, Takeshi Takaki, and Idaku Ishii. "Real-Time Optical Flow Estimation Using Multiple Frame-Straddling Intervals." Journal of Robotics and Mechatronics 24, no. 4 (2012): 686–98. http://dx.doi.org/10.20965/jrm.2012.p0686.

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Abstract:

In this paper, we propose a novel method for accurate optical flow estimation in real time for both high-speed and low-speed moving objects based on High-Frame-Rate (HFR) videos. We introduce a multiframe-straddling function to select several pairs of images with different frame intervals from an HFR image sequence even when the estimated optical flow is required to output at standard video rates (NTSC at 30 fps and PAL at 25 fps). The multiframestraddling function can remarkably improve the measurable range of velocities in optical flow estimation without heavy computation by adaptively selec

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