Accurate Realtime Motion Estimation Using Optical Flow on an Embedded System

Ammar, Anis; Fredj, Hana Ben; Souani, Chokri

doi:10.3390/electronics10172164

Cited by 13 publications

(3 citation statements)

References 28 publications

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“…Moreover, object tracking and Traffic Surveillance are other application areas of optical flow [ 219 , 220 ]. Recent investigations regard optical flow techniques for real-time motion estimation [ 221 ].…”

Section: Methodsmentioning

confidence: 99%

Past and current components-based detailing of particle image velocimetry: A comprehensive review

Rohács¹,

Yasar²,

Kale³

et al. 2023

Heliyon

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Section: Methodsmentioning

confidence: 99%

Past and current components-based detailing of particle image velocimetry: A comprehensive review

Rohács¹,

Yasar²,

Kale³

et al. 2023

Heliyon

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“…For control of shifting of key points we use optical flow. The best solution of it is Lucas–Kanade algorithm 23 . It is a widely used differential method for points shifting.…”

Section: Methodsmentioning

confidence: 99%

Automation of flow analysis in scleral vessels based on descriptive-associative algorithms

Kerimkhan

Nedzved

Zhumadillayeva

et al. 2023

Sci Rep

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Blood flow reflects the eye's health and is disrupted in many diseases. Many pathological processes take place at the cellular level like as microcirculation of blood in vessels, and the processing of medical images is a difficult recognition task. Existing techniques for measuring blood flow are limited due to the complex assumptions, equipment and calculations requirements. In this paper, we propose a method for determining the blood flow characteristics in eye conjunctiva vessels, such as linear and volumetric blood speed and topological characteristics of the vascular net. The method preprocesses the video to improve the conditions of analysis and then builds an integral optical flow for definition of flow dynamical characteristic of eye vessels. These characteristics make it possible to determine changes in blood flow in eye vessels. We show the efficiency of our method in natural eye vessel scenes. The research provides valuable insights to novices with limited experience in the diagnosis and can serve as a valuable tool for experienced medical professionals.

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“…Next, optical flow technology [58] was used. Its application provided acceleration of the DETR model up to 12.92 FPS without quality loss.…”

Section: Computer Vision Traffic Monitoringmentioning

confidence: 99%

Multicriteria Assessment Method for Network Structure Congestion Based on Traffic Data Using Advanced Computer Vision

Ekhlakov,

Andriyanov

2024

Mathematics

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Overloading of network structures is a problem that we encounter every day in many areas of life. The most associative structure is the transport graph. In many megacities around the world, the so-called intelligent transport system (ITS) is successfully operating, allowing real-time monitoring and making changes to traffic management while choosing the most effective solutions. Thanks to the emergence of more powerful computing resources, it has become possible to build more complex and realistic mathematical models of traffic flows, which take into account the interactions of drivers with road signs, markings, and traffic lights, as well as with each other. Simulations using high-performance systems can cover road networks at the scale of an entire city or even a country. It is important to note that the tool being developed is applicable to most network structures described by such mathematical apparatuses as graph theory and the applied theory of network planning and management that are widely used for representing the processes of organizing production and enterprise management. The result of this work is a developed model that implements methods for modeling the behavior of traffic flows based on physical modeling and machine learning algorithms. Moreover, a computer vision system is proposed for analyzing traffic on the roads, which, based on vision transformer technologies, provides high accuracy in detecting cars, and using optical flow, allows for significantly faster processing. The accuracy is above 90% with a processing speed of more than ten frames per second on a single video card.

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Accurate Realtime Motion Estimation Using Optical Flow on an Embedded System

Cited by 13 publications

References 28 publications

Past and current components-based detailing of particle image velocimetry: A comprehensive review

Past and current components-based detailing of particle image velocimetry: A comprehensive review

Automation of flow analysis in scleral vessels based on descriptive-associative algorithms

Multicriteria Assessment Method for Network Structure Congestion Based on Traffic Data Using Advanced Computer Vision

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