Developing A Smart Camera For Road Traffic Surveillance

• doi: 10.1109/MMSP.2008.4665188
• title: Developing a smart camera for road traffic surveillance
• publisher: IEEE
• isbn: 978-1-4244-2295-1
• issn:
• partnum: 08EX2302
• rank: 2216
• access_type: LOCKED
• content_type: Conferences
• abstract: Smart camera system design and implementation is a challenging task due to the constant need to perform computationally demanding image processing tasks with the limited resource constraints of embedded systems. This paper presents the hardware and software co-design and implementation of the first stage of TraffiCam, an FPGA based smart camera prototype for traffic surveillance at intersections, consisting of a CMOS image sensor capture device and FPGA main video processor. In particular, creative solutions for balancing gate array utilization, memory and computation time are presented for the initial stage of Harris keypoint detection with discussions on the algorithm implementation conversions between PC-based to FPGA based platforms. Preliminary results show satisfactory real-time tracking and estimation performance.
• article_number: 4665188
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4665188
• html_url: https://ieeexplore.ieee.org/document/4665188/
• abstract_url: https://ieeexplore.ieee.org/document/4665188/
• publication_title: 2008 IEEE 10th Workshop on Multimedia Signal Processing
• conference_location: Cairns, Qld
• conference_dates: 8-10 Oct. 2008
• publication_number: 4657303
• is_number: 4665023
• publication_year: 2008
• publication_date: 8-10 Oct. 2008
• start_page: 826
• end_page: 831
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 394
• insert_date: 20081105
• index_terms:
  • ieee_terms:
    • Cameras
    • Field programmable gate arrays
    • Pixel
    • Clocks
    • Classification algorithms
    • Roads
    • CMOS image sensors
  • dynamic_index_terms:
    • Road Traffic
    • Traffic Surveillance
    • Smart Cameras
    • Image Processing
    • Computation Time
    • Calculation Time
    • Image Sensor
    • Camera Sensor
    • Hardware Implementation
    • Partial Differential
    • Partial Derivatives
    • Second Derivative
    • Second-order Derivatives
    • Gaussian Filter
    • Development Of Platforms
    • Object Classification
    • Process Flow
    • Traffic Congestion
    • Traffic Density
    • Traffic Jams
    • Traffic Flow
    • Vehicular Traffic
    • Traffic Speed
    • Video Analysis
    • Video Classification
    • State Machine
    • Finite-state
    • Finite State Machine
    • Order Derivative
    • Video Sequences
    • Video Surveillance
    • Clock Cycles
    • Video Output
    • Difference Of Gaussian
    • CCTV Cameras
    • Traffic Estimation
    • Decimal Value
    • Speed Estimation
    • Video Capture
    • Traffic Detection
    • Density Estimation
• isbn_formats:
  • format: CD, value: 978-1-4244-2295-1, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-2294-4, isbnType: New-2005
• authors:
  • Author Name: Bei Na Wei
    Affiliation: School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia
    Author URL: https://ieeexplore.ieee.org/author/37088035665
    ID: 37088035665
    Order: 1
    Author Affiliations:
    • School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia
  • Author Name: Yu Shi
    Affiliation: National ICT Australia, Australian Technology Park, Sydney, Australia
    Author URL: https://ieeexplore.ieee.org/author/37087347757
    ID: 37087347757
    Order: 2
    Author Affiliations:
    • National ICT Australia, Australian Technology Park, Sydney, Australia
  • Author Name: Getian Ye
    Affiliation: National ICT Australia, Australian Technology Park, Sydney, Australia
    Author URL: https://ieeexplore.ieee.org/author/37087150039
    ID: 37087150039
    Order: 3
    Author Affiliations:
    • National ICT Australia, Australian Technology Park, Sydney, Australia
  • Author Name: Jie Xu
    Affiliation: National ICT Australia, Australian Technology Park, Sydney, Australia
    Author URL: https://ieeexplore.ieee.org/author/37087151866
    ID: 37087151866
    Order: 4
    Author Affiliations:
    • National ICT Australia, Australian Technology Park, Sydney, Australia

Image Sensor

• sensor_type: CMOS
• resolution: 1280x1024 (SXGA) / 640x480 (VGA)
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• frame_rate: 15 fps at SXGA / 30 fps at VGA

Applications & Benefits

• cell_imaging: Not specified
• benefits: Enables real-time traffic surveillance and analysis.

Supporting Organizations

• supported_by: University of New South Wales, National ICT Australia

Manuscript Details

• publication_date: 8-10 Oct. 2008

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • fill factor
  • quantum efficiency
  • dark_current
  • signal_to_noise ratio
  • power_consumption
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • sensitivity
  • shutter_speed
  • noise
  • cell_imaging

Processed JSON Filename

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