摘要
为了准确地检测和定位图像中的目标,并在连续帧之间实现目标的持续跟踪,该文提出了一种基于数字信号处理(DSP)的图像目标跟踪算法的设计与实现。目标跟踪是计算机视觉领域中的重要任务之一,该文深入研究了图像目标跟踪技术,研究了MeanShift算法的理论和实现过程,以及用MeanShift算法进行目标跟踪的流程,根据设计方案的需求选择了DSP与FPGA相结合的总体架构,将目标跟踪算法与嵌入式硬件平台相结合。该文采用“先识别、后跟踪”的方式实现了图像的目标跟踪。通过实验证明,基于DSP的图像目标跟踪算法在实时性、准确性和稳定性方面都取得了较好的效果。
In order to accurately detect and locate targets in images,and achieve continuous tracking of targets between consecutive frames,this paper introduces the design and implementation of an image target tracking algorithm based on digital signal processing(DSP).Target tracking is one of the important tasks in the field of computer vision.This article delves into image target tracking technology,studies the theory and implementation process of MeanShift algorithm,as well as the process of using MeanShift algorithm for target tracking.According to the requirements of the design scheme,the overall architecture of combining DSP and FPGA is selected,and the target tracking algorithm is combined with embedded hardware platform.This article adopts the method of“recognition first,tracking later”to achieve target tracking of images.Through experiments,it has been proven that the image target tracking algorithm based on DSP has achieved good results in real-time,accuracy,and stability.
作者
李转
李永红
岳凤英
陈坤泽
LI Zhuan;LI Yonghong;YUE Fengying;CHEN Kunze(School of Instrument and Electronics,North University of China,Taiyuan 030051,China;School of Electrical and Control Engineering,North University of China,Taiyuan 030051,China;School of Information and Communication Engineering,North University of China,Taiyuan 030051,China)
出处
《自动化与仪表》
2024年第6期81-85,共5页
Automation & Instrumentation
基金
山西省自然科学研究资助项目(20210302123026)。
