Real-Time Target Tracking Based on SOPC

2012 ◽  
Vol 433-440 ◽  
pp. 7035-7041
Author(s):  
Zhong Li ◽  
Jian Guo Mao ◽  
Xue Wang Wu ◽  
Wen Yu Lu ◽  
Guang Min Lu
Keyword(s):  
Target Tracking ◽  
Real Time ◽  
High Speed ◽  
Mean Shift ◽  
Electronic System ◽  
Description Language ◽  
The Real ◽  
Dsp Builder ◽  
Hardware Description ◽  
The Cost

The Mean Shift is an algorithm which is a non-parametric probability density gradient estimation. It can be widely applied to the moving target tracking. This paper presents a target tracking method of mean shift based on SOPC. Through designing the parallel algorithm of the system, to take into account the cost of FPGA hardware and complexity of the model, we improve the real-time of the target tracking. Meanwhile, through modeling based on DSP Builder, instead of preparing FPGA hardware description language code, we reduce system designing complexity and improve the designing efficiency of the electronic system . The results show that the real-time of the target tracking is proportional to the Parallelism of design, and the system can meet with the real-time of high-speed visual tracking.

Target Tracking by Fuzzy Algorithm Based on Adaptive Filtering with Current Statistical Model

2014 ◽  
Vol 1079-1080 ◽  
pp. 622-625
Author(s):  
Xi Peng Yin ◽  
You Li ◽  
Lin Lin Xia ◽  
Wei Cheng
Keyword(s):  
Statistical Model ◽  
Target Tracking ◽  
Real Time ◽  
Membership Function ◽  
Adaptive Filtering ◽  
Original Method ◽  
Fuzzy Algorithm ◽  
Calculation Time ◽  
The Real ◽  
The Cost

A Fuzzy algorithm based onthe current statistical model adaptive filtering is brought. This algorithm avoidsthe need to set acceleration limit in advance in the original method（CSAF）, and the accelerationestimation value is determined by the weights of the acceleration in thetriangular membership function. This new algorithmimproves the performance of target tracking with the cost of a little calculation time, but the cost of calculation timeis so slightly that we can ignorethe effect of the real-time.

Application of the Real-Time EtherCAT Technology in Wind Power Control System

2012 ◽  
Vol 580 ◽  
pp. 155-159
Author(s):  
Xiang Ming Wang ◽  
Jin Chao Wang ◽  
Dong Hua Sun
Keyword(s):  
Control System ◽  
Real Time ◽  
Wind Power ◽  
High Speed ◽  
Communication Protocol ◽  
Data Communication ◽  
Data Acquisition System ◽  
Slave System ◽  
The Real ◽  
Wind Power System

In this paper, the real-time EtherCAT technology is introduced in detail, which including operating principle, communication protocol and the superiority performance of EtherCAT i.e. synchronicity, simultaneousness and high speed. To show how to design a slave system that considering the characteristics of application, the method of developing systems based no EtherCAT technology are proposed. Finally, a data acquisition system based on EtherCAT technology is designed. Application of EtherCAT technology can improve the real-time characteristics of data communication in wind power system.

Research on Control Power and Self-Sensing Technology for GMM Self-Sensing Actuator

2010 ◽  
Vol 34-35 ◽  
pp. 1314-1318
Author(s):  
Xin Hua Wang ◽  
Shou Qiang Hu ◽  
Qian Yi Ya ◽  
Shu Wen Sun ◽  
Xiu Xia Cao
Keyword(s):  
Real Time ◽  
High Speed ◽  
Dynamic Balance ◽  
The Self ◽  
Time Dynamic ◽  
Scheme Design ◽  
Control Power ◽  
Sensing Technology ◽  
The Cost ◽  
Micro Controller Unit

Structure and principle of a new kind of diphase opposition giant magnetostrictive self-sensing actuator (SSA for short) is introduced, for which a kind of double outputs high-precision NC stable voltage power is designed. With the method of combining with the hardware design and the software setting, the controllability and reliability of the actuator are greatly improved. And the whole design becomes more reasonable, which saves the cost and improves the practicability. In addition, based on the micro controller unit (MCU) with high-speed control, the scheme design of the real-time separation circuit for dynamic balance signal can effectively identify out and pick up the self-sensing signal which changes from foreign pressure feed back. Then the SSA real-time, dynamic and accurately control is realized. The experiment results show that the voltage power can high-speed and accurately output both output voltages with high current, and that the self-sensing signal decoupling circuit can isolate the self-sensing signals without distortion

scholarly journals SYNTHESIS AND FPGA–IMPLEMENTATION BASED NEURAL TECHNIQUE OF A NONLINEAR ADC MODEL

2014 ◽  
pp. 27-33
Author(s):  
Mounir Bouhedda ◽  
Mokhtar Attari
Keyword(s):  
Integrated Circuit ◽  
Field Programmable Gate Array ◽  
High Speed ◽  
Hardware Description Language ◽  
Description Language ◽  
Analog To Digital ◽  
Field Programmable ◽  
Hardware Description ◽  
Nonlinear Analog ◽  
Very High

The aim of this paper is to introduce a new architecture using Artificial Neural Networks (ANN) in designing a 6-bit nonlinear Analog to Digital Converter (ADC). A study was conducted to synthesise an optimal ANN in view to FPGA (Field Programmable Gate Array) implementation using Very High-speed Integrated Circuit Hardware Description Language (VHDL). Simulation and tests results are carried out to show the efficiency of the designed ANN.

scholarly journals Development of six-degree of freedom strapdown terrestrial INS algorithm

2005 ◽  
Vol 2 (1) ◽  
pp. 155-165
Author(s):  
Baghdad Science Journal
Keyword(s):  
Real Time ◽  
High Speed ◽  
Degree Of Freedom ◽  
The Real ◽  
Six Degree Of Freedom

Many of accurate inertial guided missilc systems need to use more complex mathematical calculations and require a high speed processing to ensure the real-time opreation. This will give rise to the need of developing an effcint

A modeling method of algorithm-hardware based on SysML

2021 ◽  
Author(s):  
Liu Yue ◽  
Zhao Chun ◽  
Zhang Lin
Keyword(s):  
Graphical Models ◽  
Integrated Circuit ◽  
High Speed ◽  
System Modeling ◽  
Modeling Method ◽  
Description Language ◽  
Hardware Description ◽  
Circuit And System ◽  
Graphical System ◽  
Hardware Circuit

In the process of complex product design, modeling in different fields and different disciplines is often involved. Designers often face many different development kits, platforms, and theories, among which significant differences exist. Especially in the process of algorithm-hardware implementation, it is necessary to have mastery of the knowledge including algorithm, hardware, circuit, and system engineering. In this paper, a modeling method of algorithm-hardware based on SysML is proposed to reduce the difficulty of algorithm-hardware modeling. By using the method, the designers who do not know the knowledge of hardware can also easily build the algorithm-hardware model. In this method, a method of graphical system modeling based on SysML is used, where the elements of the algorithm-hardware model are described by SysML graphical models. Then, the SysML graphical models are converted to Very-High-Speed Integrated Circuit Hardware Description Language. At last, a detecting algorithm of random number is complemented by the modeling method in this paper and the simulation results are presented at the conclusion.

Tracking algorithm of snowboard target in intelligent system

2020 ◽  
pp. 1-9
Author(s):  
Zhipeng Li ◽  
Xiaolan Li ◽  
Ming Shi ◽  
Wenli Song ◽  
Guowei Zhao ◽  
...  
Keyword(s):  
Target Tracking ◽  
High Speed ◽  
Intelligent System ◽  
Mean Shift ◽  
Target Position ◽  
Tracking Algorithm ◽  
Tracking Accuracy ◽  
Mean Shift Algorithm ◽  
Target Track ◽  
The Mean

Snowboarding is a kind of sport that takes snowboarding as a tool, swivels and glides rapidly on the specified slope line, and completes all kinds of difficult actions in the air. Because the sport is in the state of high-speed movement, it is difficult to direct guidance during the sport, which is not conducive to athletes to find problems and correct them, so it is necessary to track the target track of snowboarding. The target tracking algorithm is the main solution to this task, but there are many problems in the existing target tracking algorithm that have not been solved, especially the target tracking accuracy in complex scenes is insufficient. Therefore, based on the advantages of the mean shift algorithm and Kalman algorithm, this paper proposes a better tracking algorithm for snowboard moving targets. In the method designed in this paper, in order to solve the problem, a multi-algorithm fusion target tracking algorithm is proposed. Firstly, the SIFT feature algorithm is used for rough matching to determine the fuzzy position of the target. Then, the good performance of the mean shift algorithm is used to further match the target position and determine the exact position of the target. Finally, the Kalman filtering algorithm is used to further improve the target tracking algorithm to solve the template trajectory prediction under occlusion and achieve the target trajectory tracking algorithm design of snowboarding.

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