A Bioinspired Aps For Selective Visual Attention

• doi: 10.1109/JSEN.2013.2263962
• title: A Bio-Inspired APS for Selective Visual Attention
• publisher: IEEE
• isbn:
• issn: 2379-9153
• rank: 522
• access_type: LOCKED
• content_type: Journals
• abstract: This letter presents an active pixel sensor architecture that mimics the eye adaptive behavior through dynamic background subtraction as a basis for image interpretation tasks. The pixel extracts temporal contrast as a low-level visual feature for successive high-level processing targeted to monitoring applications. To do this, each pixel compares the acquired value with a voltage range computed over the past pixel behavior; values outside this range signal a potential alert. Two switched-capacitor programmable low-pass filters are embedded. The 26 μm, 12% fill-factor, fully functional 45 T pixel has been fabricated in a 0.35 μm CMOS technology.
• article_number: 6517266
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6517266
• html_url: https://ieeexplore.ieee.org/document/6517266/
• abstract_url: https://ieeexplore.ieee.org/document/6517266/
• publication_title: IEEE Sensors Journal
• conference_location:
• conference_dates:
• publication_number: 7361
• is_number: 6572817
• publication_year: 2013
• publication_date: Sept. 2013
• start_page: 3341
• end_page: 3342
• citing_paper_count: 5
• citing_patent_count: 0
• download_count: 290
• insert_date: 20130517
• index_terms:
  • ieee_terms:
    • Visualization
    • Sensors
    • Capacitors
    • Sensitivity
    • Feature extraction
    • Wireless sensor networks
    • Power demand
  • author_terms:
    • Vision sensors
    • active pixel sensors
    • visual attention
    • early visual features
    • background subtraction
  • dynamic_index_terms:
    • Visual Attention
    • Visual Features
    • Visual Characteristics
    • Sensor Pixel
    • Light Intensity
    • Frame Rate
    • Changes In Light Intensity
• authors:
  • Author Name: Nicola Cottini
    Affiliation: Fondazione Bruno Kessler, Trento, Italy
    Author URL: https://ieeexplore.ieee.org/author/37706280200
    ID: 37706280200
    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: Nicola Massari
    Affiliation: Fondazione Bruno Kessler, Trento, Italy
    Author URL: https://ieeexplore.ieee.org/author/37273438300
    ID: 37273438300
    Order: 3
    Author Affiliations:
    • Fondazione Bruno Kessler, Trento, Italy
  • Author Name: Roberto Passerone
    Affiliation: Dipartimento di Ingegneria e Scienza dellInformazione, University of Trento, Italy
    Author URL: https://ieeexplore.ieee.org/author/37348749400
    ID: 37348749400
    Order: 4
    Author Affiliations:
    • Dipartimento di Ingegneria e Scienza dellInformazione, University of Trento, Italy

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• dynamic_range: 52 dB
• pixel_size: 26 µm
• 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: 13 fps
• power_consumption: 580 pW/frame
• noise: 2.5%

Applications & Benefits

• cell_imaging: Not specified
• benefits: Enhanced ability to detect temporal changes in light intensity and adapt to dynamic backgrounds.

Supporting Organizations

• supported_by: Project 'A Battery Operated Vision System for Wireless Sensor Network Applications', Italy-Israel Coop. 2009.

Manuscript Details

• publication_date: Sept. 2013

Relevancy Score

• score: 9
• missing_fields:
  • quantum_efficiency
  • readout_speed
  • noise_sources
  • analog_to_digital_conversion
  • microlenses
  • color_filters
  • shutter_types
  • backside_illumination

Processed JSON Filename

request_8b5fe71a-addd-4248-8247-ba93ebef8d98-a_bioinspired_aps_for_selective_visual_attention.json