A Lowpower Vga Vision Sensor With Event Detection Through Motion Computation Based On Pixelwise Doublethreshold Background Subtraction And Local Binary Pattern Coding

• doi: 10.1109/ESSCIRC.2019.8902926
• title: A Low-Power VGA Vision Sensor with Event Detection through Motion Computation based on Pixel-Wise Double-Threshold Background Subtraction and Local Binary Pattern Coding
• publisher: IEEE
• isbn: 978-1-7281-1551-1
• issn: 1930-8833
• rank: 813
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper presents a micropower VGA event-based vision sensor for IoT applications, achieving a low rate of false positives also in noisy outdoor scenarios. The embedded programmable pixel-wise, double-threshold, motion detection algorithm, applied on a under-sampled array of 160 × 120 pixels, allows to address a wide spectrum of applications. The sensor typically works in detection mode, consuming 344µW at 8fps, analysing the image, suppressing noise in the scene and looking for moving targets to generate an alert which triggers a processor for high-level vision tasks. After the alert is asserted, the sensor switches to the imaging mode delivering full resolution gray-scale images together with their motion bitmaps at 1.35mW. The 4µm pixel sensor is fabricated in a 110nm CMOS and occupies an area of 25 mm2.
• article_number: 8902926
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8902926
• html_url: https://ieeexplore.ieee.org/document/8902926/
• abstract_url: https://ieeexplore.ieee.org/document/8902926/
• publication_title: ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference (ESSCIRC)
• conference_location: Cracow, Poland
• conference_dates: 23-26 Sept. 2019
• publication_number: 8895615
• is_number: 8902346
• publication_year: 2019
• publication_date: 23-26 Sept. 2019
• start_page: 97
• end_page: 100
• citing_paper_count: 5
• citing_patent_count: 0
• download_count: 367
• insert_date: 20191118
• index_terms:
  • ieee_terms:
    • Motion detection
    • Imaging
    • Adders
    • Vision sensors
    • Power demand
    • Gray-scale
    • Kernel
  • dynamic_index_terms:
    • Background Subtraction
    • Event Detection
    • Vision Sensors
    • Low-power Sensors
    • Local Binary Pattern Code
    • Grayscale Images
    • Greyscale Images
    • Motion Detection
    • Motion Sensors
    • Sensor Pixel
    • Wireless
    • Wireless Communication
    • Power Consumption
    • Frame Rate
    • Image Sensor
    • Camera Sensor
    • Voltage Ramp
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-7281-1551-1, isbnType: New-2005
  • format: USB ISBN, value: 978-1-7281-1549-8, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-7281-1550-4, isbnType: New-2005
• authors:
  • Author Name: Yu Zou
    Affiliation: Fondazione Bruno Kessler, Trento, Italy
    Author URL: https://ieeexplore.ieee.org/author/37086278701
    ID: 37086278701
    Order: 1
    Author Affiliations:
    • Fondazione Bruno Kessler, Trento, Italy
  • Author Name: Massimo Gottardi
    Affiliation: Fondazione Bruno Kessler, Trento, Italy
    Author URL: https://ieeexplore.ieee.org/author/37273443400
    ID: 37273443400
    Order: 2
    Author Affiliations:
    • Fondazione Bruno Kessler, Trento, Italy
  • Author Name: Michela Lecca
    Affiliation: Fondazione Bruno Kessler, Trento, Italy
    Author URL: https://ieeexplore.ieee.org/author/37085484709
    ID: 37085484709
    Order: 3
    Author Affiliations:
    • Fondazione Bruno Kessler, Trento, Italy
  • Author Name: Matteo Perenzoni
    Affiliation: Fondazione Bruno Kessler, Trento, Italy
    Author URL: https://ieeexplore.ieee.org/author/37301008100
    ID: 37301008100
    Order: 4
    Author Affiliations:
    • Fondazione Bruno Kessler, Trento, Italy

Image Sensor

• sensor_type: CMOS
• resolution: 640 x 480
• dynamic_range: 53dB
• pixel_size: 4µm
• 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: 8fps
• power_consumption: 344µW in motion detection, 1.35mW in normal imaging

Applications & Benefits

• cell_imaging: Not specified
• benefits: Low power consumption, robust motion detection capabilities, low false positive rate in noisy environments.

Supporting Organizations

• supported_by: EU H2020-FCT-2014 FORENSOR Project, under Grant n. 653355

Manuscript Details

• publication_date: 23-26 Sept. 2019

Relevancy Score

• score: 9
• missing_fields:
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • dark_current
  • noise

Processed JSON Filename

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