Implementation of Optical Flow Base on Pyramid on the Zedboard

Using HLS to optimize C++ code,the feature of large-scale motion on the Optical Flow tracking algorithm has been implemented in the vision navigation system. Embedded coprocessor input and output image, FPAG unit exchange date with coprocessor. A complete embed design in Zedbaord that is include FPAG and ARM. The FPAG and ARM collaborative design of a processing system accelerated algorithm speed and restructured the hardware and software frame.

Download Full-text

An Improved Optical Flow Algorithm Based on Mask-R-CNN and K-Means for Velocity Calculation

Applied Sciences ◽

10.3390/app9142808 ◽

2019 ◽

Vol 9 (14) ◽

pp. 2808 ◽

Cited By ~ 4

Author(s):

Yahui Peng ◽

Xiaochen Liu ◽

Chong Shen ◽

Haoqian Huang ◽

Donghua Zhao ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Optical Flow ◽

Navigation System ◽

Moving Objects ◽

Harmful Effect ◽

Improved Method ◽

Vision Navigation ◽

Vehicle Velocity ◽

Flow Algorithm

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 Kanade algorithm is used to calculate the optical flow value. Finally, the value is clustered by the K-Means algorithm to abandon the outliers, and vehicle velocity is calculated by the processed optical flow. The prominent advantages of the proposed algorithm are (i) decreasing the bad impacts to velocity calculation, due to the objects which have relative motions; (ii) obtaining the correct optical flow sets and velocity calculation outputs with less fluctuation; and (iii) the applicability enhancement of the optical flow algorithm in complex navigation environment. The proposed algorithm is tested by actual experiments. Results with superior precision and reliability show the feasibility and effectiveness of the proposed method for vehicle velocity calculation in vision navigation system.

Download Full-text

Large-scale Motion of Solar Filaments

International Astronomical Union Colloquium ◽

10.1017/s0252921100064502 ◽

2000 ◽

Vol 179 ◽

pp. 205-208

Author(s):

Pavel Ambrož ◽

Alfred Schroll

Keyword(s):

Magnetic Flux ◽

Proper Motion ◽

Time Scale ◽

Large Scale ◽

Accuracy Of Measurements ◽

Solar Filaments ◽

General Movement ◽

Scale Motion ◽

Velocity Scatter

AbstractPrecise measurements of heliographic position of solar filaments were used for determination of the proper motion of solar filaments on the time-scale of days. The filaments have a tendency to make a shaking or waving of the external structure and to make a general movement of whole filament body, coinciding with the transport of the magnetic flux in the photosphere. The velocity scatter of individual measured points is about one order higher than the accuracy of measurements.

Download Full-text

CORBA-based implementation of invalidation detection mechanism in large scale transaction processing system

Journal of Computer Applications ◽

10.3724/sp.j.1087.2008.01850 ◽

2008 ◽

Vol 28 (7) ◽

pp. 1850-1853

Author(s):

Xi-ping HE

Keyword(s):

Large Scale ◽

Processing System ◽

Transaction Processing ◽

Detection Mechanism

Download Full-text

A combined collaborative design platform for large-scale equipment installation

International Technology and Innovation Conference 2006 (ITIC 2006) ◽

10.1049/cp:20061008 ◽

2006 ◽

Author(s):

Zhang Weihua ◽

Tan Jianrong ◽

Che Junhua

Keyword(s):

Collaborative Design ◽

Large Scale

Download Full-text

Interaction of Very Large Scale Motion of Coherent Structures with Sediment Particle Exposure

Water ◽

10.3390/w13030248 ◽

2021 ◽

Vol 13 (3) ◽

pp. 248

Author(s):

Sencer Yücesan ◽

Daniel Wildt ◽

Philipp Gmeiner ◽

Johannes Schobesberger ◽

Christoph Hauer ◽

...

Keyword(s):

Coherent Structures ◽

Large Scale ◽

Numerical Study ◽

Local Maximum ◽

Wave Number ◽

Exposure Level ◽

Sediment Particle ◽

High Wave Number ◽

Large Scale Motion ◽

Scale Motion

A systematic variation of the exposure level of a spherical particle in an array of multiple spheres in a high Reynolds number turbulent open-channel flow regime was investigated while using the Large Eddy Simulation method. Our numerical study analysed hydrodynamic conditions of a sediment particle based on three different channel configurations, from full exposure to zero exposure level. Premultiplied spectrum analysis revealed that the effect of very-large-scale motion of coherent structures on the lift force on a fully exposed particle resulted in a bi-modal distribution with a weak low wave number and a local maximum of a high wave number. Lower exposure levels were found to exhibit a uni-modal distribution.

Download Full-text

On the Throughput Optimization in Large-Scale Batch-Processing Systems

ACM SIGMETRICS Performance Evaluation Review ◽

10.1145/3453953.3453982 ◽

2021 ◽

Vol 48 (3) ◽

pp. 128-129

Author(s):

Sounak Kar ◽

Robin Rehrmann ◽

Arpan Mukhopadhyay ◽

Bastian Alt ◽

Florin Ciucu ◽

...

Keyword(s):

Large Scale ◽

Mean Field ◽

Queueing Network ◽

Processing System ◽

Batch Size ◽

System Throughput ◽

Throughput Optimization ◽

Mean Field Model ◽

Optimal Batch Size ◽

Globally Attractive

We analyze a data-processing system with n clients producing jobs which are processed in batches by m parallel servers; the system throughput critically depends on the batch size and a corresponding sub-additive speedup function that arises due to overhead amortization. In practice, throughput optimization relies on numerical searches for the optimal batch size which is computationally cumbersome. In this paper, we model this system in terms of a closed queueing network assuming certain forms of service speedup; a standard Markovian analysis yields the optimal throughput in w n4 time. Our main contribution is a mean-field model that has a unique, globally attractive stationary point, derivable in closed form. This point characterizes the asymptotic throughput as a function of the batch size that can be calculated in O(1) time. Numerical settings from a large commercial system reveal that this asymptotic optimum is accurate in practical finite regimes.

Download Full-text