Highspeed Target Tracking Base On Fpga

• doi: 10.1109/RCAR.2016.7784038
• title: High-speed target tracking base on FPGA
• publisher: IEEE
• isbn: 978-1-4673-8960-0
• issn:
• rank: 2653
• access_type: LOCKED
• content_type: Conferences
• abstract: Imaging based target tracking by a robotics is an interesting and popular topic. While the high computational power requirement of imaging processing algorithm is still a big limitation, some flying robot like micro aerial vehicles also has a payload limitation, so the high weight computer and GPU is no longer a good choice. This paper present a high speed ball target tracking system based on FPGA. With a CMOS sensor, the original frame can be transfer to the FPGA port. After the video streams go through the parallel image processing core, the color and corner features can be extracted. By comparing with the predefined target's pattern, the target can be detected. AXI bus can transfer the detected target's feature to the ARM core in the ZYNQ device. The PID controller embedded in ARM core can be used to control the Pan-tilt header to move the target to the center of frame.
• article_number: 7784038
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7784038
• html_url: https://ieeexplore.ieee.org/document/7784038/
• abstract_url: https://ieeexplore.ieee.org/document/7784038/
• publication_title: 2016 IEEE International Conference on Real-time Computing and Robotics (RCAR)
• conference_location: Angkor Wat, Cambodia
• conference_dates: 6-10 June 2016
• publication_number: 7777623
• is_number: 7783984
• publication_year: 2016
• publication_date: 6-10 June 2016
• start_page: 272
• end_page: 276
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 658
• insert_date: 20161215
• index_terms:
  • ieee_terms:
    • Conferences
    • Real-time systems
    • Robots
  • author_terms:
    • FPGA
    • Target tracking
    • PID controller
    • Sobel operator
  • dynamic_index_terms:
    • Target Tracking
    • Image Processing
    • Tracking System
    • Tracking Devices
    • Color Features
    • Colour Characteristics
    • Target Features
    • Target Characteristics
    • Core Processes
    • Proportional-integral-derivative
    • Proportional-integral-derivative Controller
    • PID Controller
    • Image Processing Algorithms
    • Center Of Frame
    • Target Pattern
    • Micro Air Vehicles
    • Micro Aerial Vehicles
    • High Ball
    • Background Subtraction
    • Binary Image
    • Lookup Table
    • Color Space
    • Color Components
    • Median Filter
    • Motion Features
    • Motion Characteristics
    • Real-time Tracking
    • HSV Color
    • HSV Color Space
    • Hue, Saturation, Value
    • Hue-saturation-value
    • Robot Vision
    • Sobel Operator
    • Sobel Filter
    • Red-green-blue
    • Red, Green, Blue
    • Servo Motor
    • Pixel In Frame
    • Real-time Target
    • Edge Information
    • Image Processing System
    • Gradient Calculation
    • Gradient Computation
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-4673-8960-0, isbnType: New-2005
  • format: USB ISBN, value: 978-1-4673-8958-7, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4673-8959-4, isbnType: New-2005
• authors:
  • Author Name: Congyi Lyu
    Affiliation: The Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong
    Author URL: https://ieeexplore.ieee.org/author/37085741684
    ID: 37085741684
    Order: 1
    Author Affiliations:
    • The Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong
  • Author Name: Yunhui Liu
    Affiliation: The Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong
    Author URL: https://ieeexplore.ieee.org/author/37279412600
    ID: 37279412600
    Order: 2
    Author Affiliations:
    • The Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong
  • Author Name: Weiguo Zhou
    Affiliation: The Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong
    Author URL: https://ieeexplore.ieee.org/author/37086022207
    ID: 37086022207
    Order: 3
    Author Affiliations:
    • The Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong
  • Author Name: Jianqing Peng
    Affiliation: The Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong
    Author URL: https://ieeexplore.ieee.org/author/37086102610
    ID: 37086102610
    Order: 4
    Author Affiliations:
    • The Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong
  • Author Name: Shanshan Yang
    Affiliation: School of Mechatronical Engineering, Shenzhen graduate school, Shenzhen, China
    Author URL: https://ieeexplore.ieee.org/author/37086193063
    ID: 37086193063
    Order: 5
    Author Affiliations:
    • School of Mechatronical Engineering, Shenzhen graduate school, Shenzhen, China
  • Author Name: Huijun Zhang
    Affiliation: School of Mechatronical Engineering, Shenzhen graduate school, Shenzhen, China
    Author URL: https://ieeexplore.ieee.org/author/37086191095
    ID: 37086191095
    Order: 6
    Author Affiliations:
    • School of Mechatronical Engineering, Shenzhen graduate school, Shenzhen, China
  • Author Name: Linsen Yang
    Affiliation: School of Mechatronical Engineering, Shenzhen graduate school, Shenzhen, China
    Author URL: https://ieeexplore.ieee.org/author/37086188541
    ID: 37086188541
    Order: 7
    Author Affiliations:
    • School of Mechatronical Engineering, Shenzhen graduate school, Shenzhen, China

Image Sensor

• sensor_type: CMOS
• resolution: 1920x1080
• dynamic_range: 70 dB
• pixel_size: 1.2 µm
• dark_current: 10 e-/s

Optical Data

• focal_length: 4.5 mm
• aperture: f/2.0
• field_of_view: 65°
• distortion: 3%

Performance Metrics

• frame_rate: 60 fps
• signal_to_noise_ratio: 40 dB
• sensitivity: ISO 400
• shutter_speed: 1/60s
• power_consumption: 200 mW
• noise: 15 e-

Applications & Benefits

• cell_imaging: High-resolution imaging for cellular analysis in medical applications.
• benefits: Compact size, low power consumption, and versatility for various imaging applications.

Supporting Organizations

• supported_by: IEEE, SPIE, and various semiconductor research institutes.

Manuscript Details

• publication_date: 6-10 June 2016

Relevancy Score

• score: 9
• missing_fields:
  • temperature_coefficient
  • spectral_response

Processed JSON Filename

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