Efficient Hardware Implementation of the Horn-Schunck Algorithm for High-Resolution Real-Time Dense Optical Flow Sensor-Reference-Cited by-同舟云学术

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Efficient Hardware Implementation of the Horn-Schunck Algorithm for High-Resolution Real-Time Dense Optical Flow Sensor

Published:2014-02-12 Issue:2 Volume:14 Page:2860-2891
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Komorkiewicz Mateusz,Kryjak Tomasz,Gorgon Marek

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/14/2/2860/pdf

Reference49 articles.

1. Smart Cameras;Belbachir,2010

2. Video Detection Algorithm Using an Optical Flow Calculation Method;Glowacz,2012

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improvised Optical Flow Techniques to Track Vehicle Movements in a Drone Video—Hybrid Approach Combining Lucas–Kanade and Horn–Schunck Methods;Lecture Notes in Networks and Systems;2024

2. A Real-Time and Efficient Optical Flow Tracking Accelerator on FPGA Platform;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-12

3. Geometric Transformations;Design for Embedded Image Processing on FPGAs;2023-09-05

4. Real-Time Efficient FPGA Implementation of the Multi-Scale Lucas-Kanade and Horn-Schunck Optical Flow Algorithms for a 4K Video Stream;Sensors;2022-07-03

5. Using HLS for Designing a Parametric Optical Flow Hierarchical Algorithm in FPGAs;2022 IEEE International Symposium on Circuits and Systems (ISCAS);2022-05-28

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