Relevant bibliographies by topics / Lucas-Kanade algoritmus

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Lucas-Kanade algoritmus'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Lucas-Kanade algoritmus"

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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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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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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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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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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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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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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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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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Wang, Yan Ni. "A Local Optical Flow Constraint Target Extracting Algorithm of Kalman Filter Based on Background Modeling." Applied Mechanics and Materials 596 (July 2014): 316–21. http://dx.doi.org/10.4028/www.scientific.net/amm.596.316.

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Owing to the problems of inter frame difference method cannot extract the entire target and most optical flow algorithms with computational time, poor real-time performance, a local optical flow constraint target extracting algorithm of Kalman filter based on background modeling is proposed. Firstly use Kalman filter method based on background modeling predict and update the background, then make Lucas-Kanade local optical flow algorithm search the background changing region, finally determine the gray contour, extract target. Compared with the classical algorithms, the simulation results show
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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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Dissertations / Theses on the topic "Lucas-Kanade algoritmus"

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Bernátek, Pavel. "Vizualizace pulzu ve videozáznamu obličeje." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-242090.

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In the semestral thesis is given basic methods of non-contact measurement heart rate. There is explained Eulerian video magnification method deals with the visualization of the pulse in the videosequence of face. The semestral thesis describes algorithm Viola-Jones face detection in images and algorithm Kanade-Lucas-Tomasi for tracking faces in the videosequence. Part of the work includes design and realization of measurement. There is explained realization of the program and documented execution results, which are discussed. From the results it is designed to guide for optimal recording.
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Mezera, Lukáš. "Zlepšení rozlišení pro vícečetné snímky stejné scény." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237196.

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Úkolem této diplomové práce je navrhnout vlastní metodu pro zvýšení rozlišení v obraze scény, pokud je k dispozici více snímků dané scény. V teoretické části diplomové práce jsou jako nejlepší metody pro zvýšení rozlišení v obraze vybrány ty, které jsou založeny na principech zpracování signálu. Dále jsou popsány základní požadavky metod pro zvýšení rozlišení v obraze při přítomnosti více snímků stejné scény a jejich typická struktura. Následuje stručný přehled těchto metod a jejich vzájemné porovnání podle optimálních kritérií. Praktická část diplomové práce se zabývá samotným návrhem metody
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Casero, Cañas Ramón. "Left ventricle functional analysis in 2D+t contrast echocardiography within an atlas-based deformable template model framework." Thesis, University of Oxford, 2008. http://ora.ox.ac.uk/objects/uuid:b17b3670-551d-4549-8f10-d977295c1857.

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This biomedical engineering thesis explores the opportunities and challenges of 2D+t contrast echocardiography for left ventricle functional analysis, both clinically and within a computer vision atlas-based deformable template model framework. A database was created for the experiments in this thesis, with 21 studies of contrast Dobutamine Stress Echo, in all 4 principal planes. The database includes clinical variables, human expert hand-traced myocardial contours and visual scoring. First the problem is studied from a clinical perspective. Quantification of endocardial global and local funct
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Book chapters on the topic "Lucas-Kanade algoritmus"

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Mi, Yao, Prakash Kumar Bipin, and Rajeev Kumar Shah. "Using Lucas-Kanade Algorithms to Measure Human Movement." In Communications in Computer and Information Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5992-7_10.

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Conference papers on the topic "Lucas-Kanade algoritmus"

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Ghandi, Bashir Mohammed, R. Nagarajan, and Hazry Desa. "Facial emotion detection using GPSO and Lucas-Kanade algorithms." In 2010 International Conference on Computer and Communication Engineering (ICCCE). IEEE, 2010. http://dx.doi.org/10.1109/iccce.2010.5556754.

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S. P. Bove, Márcio, Jés J. F. Cerqueira, and Eduardo F. Simas Filho. "Novelty Detection Applied in Recognition of Facial Expressions." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1118.

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Esta pesquisa investiga a capacidade das redes Perceptron de Múltiplas Camadas (MLP) e Função de Base Radial (RBF) na tarefa de Detecção de Novidade (DN) no reconhecimento de expressões faciais usando recursos de vídeo. O conjunto de dados de vídeo utilizado é produzido por atores profissionais em estúdio com estados afetivos básicos do rosto humano. Os algoritmos Viola-Jones, Kanade-Lucas-Tomasi (KLT) e Análise de Componentes Principais (PCA) são usados na fase de pré-processamento para extrair atributos da face. Os resultados avaliam o desempenho das redes MLP e RBF na tarefa DN, usando nova
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Kesrarat, Darun, and Vorapoj Patanavijit. "Experimental study efficiency of robust models of Lucas-Kanade optical flow algorithms in the present of Non-Gaussian Noise." In 2012 4th International Conference on Knowledge and Smart Technology (KST). IEEE, 2012. http://dx.doi.org/10.1109/kst.2012.6287737.

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Journal articles
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