Real-time object tracking in a video stream using Field Programmable Gate Array

2012 ◽  
Author(s):  
V M Sandeep Rao ◽  
Aravind Natarajan ◽  
S. Moorthi ◽  
M. P. Selvan
Keyword(s):  
Object Tracking ◽  
Real Time ◽  
Field Programmable Gate Array ◽  
Video Stream ◽  
Field Programmable ◽  
Gate Array

scholarly journals Real-time object tracking system based on field-programmable gate array and convolution neural network

2016 ◽  
Vol 14 (1) ◽  
pp. 172988141668270 ◽  
Author(s):  
Congyi Lyu ◽  
Haoyao Chen ◽  
Xin Jiang ◽  
Peng Li ◽  
Yunhui Liu
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Object Tracking ◽  
Real Time ◽  
Field Programmable Gate Array ◽  
Tracking System ◽  
Convolution Neural Network ◽  
Processing Unit ◽  
Field Programmable ◽  
Gate Array

Vision-based object tracking has lots of applications in robotics, like surveillance, navigation, motion capturing, and so on. However, the existing object tracking systems still suffer from the challenging problem of high computation consumption in the image processing algorithms. The problem can prevent current systems from being used in many robotic applications which have limitations of payload and power, for example, micro air vehicles. In these applications, the central processing unit- or graphics processing unit-based computers are not good choices due to the high weight and power consumption. To address the problem, this article proposed a real-time object tracking system based on field-programmable gate array, convolution neural network, and visual servo technology. The time-consuming image processing algorithms, such as distortion correction, color space convertor, and Sobel edge, Harris corner features detector, and convolution neural network were redesigned using the programmable gates in field-programmable gate array. Based on the field-programmable gate array-based image processing, an image-based visual servo controller was designed to drive a two degree of freedom manipulator to track the target in real time. Finally, experiments on the proposed system were performed to illustrate the effectiveness of the real-time object tracking system.

scholarly journals Field programmable Gate Array based Real Time Object Tracking using Partial Least Square Analysis

2020 ◽  
Vol 2 (2) ◽  
pp. 95-110
Author(s):  
Somasundaram D. ◽  
Kumaresan N ◽  
Vanitha S
Keyword(s):  
Object Tracking ◽  
Real Time ◽  
Field Programmable Gate Array ◽  
Partial Least Square ◽  
Tracking Algorithm ◽  
Least Square ◽  
Appearance Model ◽  
Field Programmable ◽  
Pls Analysis ◽  
Gate Array

In this paper, we proposed an object tracking algorithm in real time implementation of moving object tracking system using Field programmable gate array (FPGA). Object tracking is considered as a binary classification problem and one of the approaches to this problem is that to extract appropriate features from the appearance of the object based on partial least square (PLS) analysis method, which is a low dimension reduction technique in the subspace. In this method, the adaptive appearance model integrated with PLS analysis is used for continuous update of the appearance change of the target over time. For robust and efficient tracking, particle filtering is used in between every two consecutive frames of the video. This has implemented using Cadence and Virtuoso software integrated environment with MATLAB. The experimental results are performed on challenging video sequences to show the performance of the proposed tracking algorithm using FPGA in real time.

Real-time signal processing in field programmable gate array based digital gamma-ray spectrometer

2020 ◽  
Vol 91 (10) ◽  
pp. 104707
Author(s):  
Yinyu Liu ◽  
Hao Xiong ◽  
Chunhui Dong ◽  
Chaoyang Zhao ◽  
Quanfeng Zhou ◽  
...  
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Field Programmable Gate Array ◽  
Gamma Ray ◽  
Time Signal ◽  
Gamma Ray Spectrometer ◽  
Field Programmable ◽  
Gate Array ◽  
Real Time Signal Processing

A Real-Time Processing System Based on Field Programmable Gate Array for Infrared Image

2009 ◽  
Vol 36 (2) ◽  
pp. 307-311
Author(s):  
罗凤武 Luo Fengwu ◽  
王利颖 Wang Liying ◽  
涂霞 Tu Xia ◽  
陈厚来 Chen Houlai
Keyword(s):  
Real Time ◽  
Field Programmable Gate Array ◽  
Infrared Image ◽  
Processing System ◽  
Real Time Processing ◽  
Time Processing ◽  
Field Programmable ◽  
Gate Array

scholarly journals Time Resolution Improvement Using Dual Delay Lines for Field-Programmable-Gate-Array-Based Time-to-Digital Converters with Real-Time Calibration

2018 ◽  
Vol 9 (1) ◽  
pp. 20 ◽  
Author(s):  
Yuan-Ho Chen
Keyword(s):  
Real Time ◽  
Field Programmable Gate Array ◽  
Delay Lines ◽  
Differential Nonlinearity ◽  
Time Calibration ◽  
Integral Nonlinearity ◽  
Resolution Improvement ◽  
Field Programmable ◽  
Gate Array ◽  
Set Up

This paper presents a time-to-digital converter (TDC) based on a field programmable gate array (FPGA) with a tapped delay line (TDL) architecture. This converter employs dual delay lines (DDLs) to enable real-time calibrations, and the proposed DDL-TDC measures the statistical distribution of delays to permit the calibration of nonuniform delay cells in FPGA-based TDC designs. DDLs are also used to set up alternate calibrations, thus enabling environmental effects to be immediately accounted for. Experimental results revealed that relative to a conventional TDL-TDC, the proposed DDL-TDC reduced the maximum differential nonlinearity by 26% and the integral nonlinearity by 30%. A root-mean-squared value of 32 ps was measured by inputting the constant delay source into the proposed DDL-TDC. The proposed scheme also maintained excellent linearity across a range of temperatures.

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