Cargando…
Real-Time Efficient FPGA Implementation of the Multi-Scale Lucas-Kanade and Horn-Schunck Optical Flow Algorithms for a 4K Video Stream
The information about optical flow, i.e., the movement of pixels between two consecutive images from a video sequence, is used in many vision systems, both classical and those based on deep neural networks. In some robotic applications, e.g., in autonomous vehicles, it is necessary to calculate the...
Autores principales: | Blachut, Krzysztof, Kryjak, Tomasz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269814/ https://www.ncbi.nlm.nih.gov/pubmed/35808512 http://dx.doi.org/10.3390/s22135017 |
Ejemplares similares
-
Efficient Hardware Implementation of the Horn-Schunck Algorithm for High-Resolution Real-Time Dense Optical Flow Sensor
por: Komorkiewicz, Mateusz, et al.
Publicado: (2014) -
Optimal Filter Estimation for Lucas-Kanade Optical Flow
por: Sharmin, Nusrat, et al.
Publicado: (2012) -
Large Displacement Detection Using Improved Lucas–Kanade Optical Flow
por: Al-Qudah, Saleh, et al.
Publicado: (2023) -
Feature Point Extraction and Motion Tracking of Cardiac Color Ultrasound under Improved Lucas–Kanade Algorithm
por: Zhang, Xiaoli, et al.
Publicado: (2021) -
Development and performance assessment of an advanced Lucas‐Kanade algorithm for dose mapping of cervical cancer external radiotherapy and brachytherapy plans
por: Novák, Václav, et al.
Publicado: (2021)