Optimizing Design of Real-Time Spatial Moving Target Tracking System

Achieving the detection and tracking of moving targets has been widely applied in all fields of today's society. Because of the shortcomings of traditional video tracking system, this paper proposes a novel method for designing video processing system based on hardware design of FPGA and DSP, and moving target in video can be detected and tracked by this system. In this system, DSP as the core of the system, it mainly completes the processing algorithms of video and image data, FPGA as a coprocessor, responsible for the completion of the processing of external data and logic. The hardware structure, link configuration, program code and other aspects of system are optimized. Finally, through the experiment, the input frame rate of video is 40frames/s, and the image resolution is 512pixels × 512pixels, median 16bites quantitative image sequence, the system can complete the relevant real-time detection and tracking algorithm and extract targets position of image sequences correctly. The results show that the advantage is that this system has powerful operation speed, real time, high accuracy and stability.

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Computational Acceleration of Real-Time Kernel-Based Tracking System

Journal of Circuits System and Computers ◽

10.1142/s0218126616500304 ◽

2016 ◽

Vol 25 (04) ◽

pp. 1650030 ◽

Cited By ~ 1

Author(s):

Manoj Pandey ◽

J. S. Ubhi ◽

Kota Solomon Raju

Keyword(s):

Real Time ◽

Video Processing ◽

Tracking System ◽

Low Cost ◽

Computational Cost ◽

Window Size ◽

Image Resolution ◽

Frame Rate ◽

Color Distribution ◽

Computational Speed

Object tracking in real-time is one of the applications of video processing, where the required computational cost is high due to intensive high data processing. In order to solve these problems, this paper presents an embedded solution, where the Hardware/Software (HW/SW) co-design architecture is used for the implementation of well-known kernel-based tracking system. In this algorithm, the target is searched in consecutive frame by maximizing the statistical match with similarity estimation of color distribution. The whole tracking system is implemented on low cost Field Programmable Gate Array (FPGA) device with image resolution of 1280[Formula: see text]720 pixels and target window size of 160[Formula: see text]80 pixels. The HW/SW co-design architecture is proposed to accelerate the computational speed of the system. The performance of the system is evaluated in terms of execution speed and frame rate compared with software based implementation. The hardware cost of design is also compared with other existing methods. The proposed design achieves 22 times computational speed and maximum 60 Frames Per Second (FPS) compared with software based design.

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A renovated algorithm for extracting moving target from background in real time video tracking system

[1988 Proceedings] 9th International Conference on Pattern Recognition ◽

10.1109/icpr.1988.28316 ◽

2003 ◽

Author(s):

Chen Sipei ◽

Li Zongjie ◽

Zhang Guilin

Keyword(s):

Real Time ◽

Tracking System ◽

Video Tracking ◽

Moving Target ◽

Video Tracking System

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Real-time FPGA-based implementation of the AKAZE algorithm with nonlinear scale space generation using image partitioning

Journal of Real-Time Image Processing ◽

10.1007/s11554-021-01089-9 ◽

2021 ◽

Author(s):

Parastoo Soleimani ◽

David W. Capson ◽

Kin Fun Li

Keyword(s):

Real Time ◽

Memory Management ◽

Scale Space ◽

Image Resolution ◽

Hardware Architecture ◽

Frame Rate ◽

Time Sharing ◽

Scale Invariant ◽

Nonlinear Scale Space ◽

Nonlinear Scale

AbstractThe first step in a scale invariant image matching system is scale space generation. Nonlinear scale space generation algorithms such as AKAZE, reduce noise and distortion in different scales while retaining the borders and key-points of the image. An FPGA-based hardware architecture for AKAZE nonlinear scale space generation is proposed to speed up this algorithm for real-time applications. The three contributions of this work are (1) mapping the two passes of the AKAZE algorithm onto a hardware architecture that realizes parallel processing of multiple sections, (2) multi-scale line buffers which can be used for different scales, and (3) a time-sharing mechanism in the memory management unit to process multiple sections of the image in parallel. We propose a time-sharing mechanism for memory management to prevent artifacts as a result of separating the process of image partitioning. We also use approximations in the algorithm to make hardware implementation more efficient while maintaining the repeatability of the detection. A frame rate of 304 frames per second for a $$1280 \times 768$$ 1280 × 768 image resolution is achieved which is favorably faster in comparison with other work.

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Design of a real-time video processing system with FPGA

10.1117/12.481630 ◽

2002 ◽

Author(s):

Wei Liu ◽

Zeying Chi ◽

Wenjian Chen

Keyword(s):

Real Time ◽

Video Processing ◽

Processing System

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The Research of Moving Target Detection and Tracking System Based on DM6437

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.734.203 ◽

2015 ◽

Vol 734 ◽

pp. 203-206

Author(s):

En Zeng Dong ◽

Sheng Xu Yan ◽

Kui Xiang Wei

Keyword(s):

Target Detection ◽

Digital Signal Processor ◽

Moving Objects ◽

Tracking System ◽

Digital Signal ◽

Gaussian Mixture ◽

Background Model ◽

Moving Target ◽

Moving Target Detection ◽

Detection And Tracking

In order to enhance the rapidity and the accuracy of moving target detection and tracking, and improve the speed of the algorithm on the DSP (digital signal processor), an active visual tracking system was designed based on the gaussian mixture background model and Meanshift algorithm on DM6437. The system use the VLIB library developed by TI, and through the method of gaussian mixture background model to detect the moving objects and use the Meanshift tracking algorithm based on color features to track the target in RGB space. Finally, the system is tested on the hardware platform, and the system is verified to be quickness and accuracy.

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