Study on the Moving Target Tracking Based on Vision DSP

Author:

Gong Xuan,Le ZichunORCID,Wang HuiORCID,Wu Yukun

Abstract

The embedded visual tracking system has higher requirements for real-time performance and system resources, and this is a challenge for visual tracking systems with available hardware resources. The major focus of this study is evaluating the results of hardware optimization methods. These optimization techniques provide efficient utilization based on limited hardware resources. This paper also uses a pragmatic approach to investigate the real-time performance effect by implementing and optimizing a kernel correlation filter (KCF) tracking algorithm based on a vision digital signal processor (vision DSP). We examine and analyze the impact factors of the tracking system, which include DP (data parallelism), IP (instruction parallelism), and the characteristics of parallel processing of the DSP core and iDMA (integrated direct memory access). Moreover, we utilize a time-sharing strategy to increase the system runtime speed. These research results are also applicable to other machine vision algorithms. In addition, we introduced a scale filter to overcome the disadvantages of KCF for scale transformation. The experimental results demonstrate that the use of system resources and real-time tracking speed also satisfies the expected requirements, and the tracking algorithm with a scale filter can realize almost the same accuracy as the DSST (discriminative scale space tracking) algorithm under a vision DSP environment.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design of A High-speed Infrared Image Processing Platform Based on the Multi-core DSP and FPGA;2023 2nd International Conference on Artificial Intelligence and Computer Information Technology (AICIT);2023-09-15

2. Analysis of a novel FPGA-based system for filtering audio signals using a finite impulse response filters;International Journal of Electronics and Telecommunications;2023-07-26

3. Optimization of Moving Object Tracking Algorithm Based on Computer Vision and Vision Sensor;Learning and Analytics in Intelligent Systems;2023

4. Recent developments on target tracking problems: A review;Ocean Engineering;2021-09

5. Real-time implementation of fast discriminative scale space tracking algorithm;Journal of Real-Time Image Processing;2021-05-22

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