Advantages Of Selective Changedriven Vision For Resourcelimited Systems

• doi: 10.1109/TCSVT.2011.2162761
• title: Advantages of Selective Change-Driven Vision for Resource-Limited Systems
• publisher: IEEE
• isbn:
• issn: 1558-2205
• rank: 1420
• access_type: LOCKED
• content_type: Journals
• abstract: Selective change-driven (SCD) vision is a capture/processing strategy especially suited for vision systems with limited resources and/or vision applications with real-time constraints. SCD vision capture essentially involves delivering only the pixels that have undergone the greatest change in illumination since the last time they were read-out. SCD vision processing involves processing a limited pixel flow with similar results to the usual image flow, but with far lower bandwidth and processing requirements. SCD vision is based on pixel flow processing instead of traditional image flow processing. This complete change in the way video is processed and has a direct impact on the processing hardware required to deal with visual information. In this paper, we present the first CMOS sensor using the SCD strategy, along with a highly resource-limited system implementing an object tracking experiment. Results show that SCD vision outperforms traditional vision systems by at least one order of magnitude, with limited hardware requirements for the specific tracking experiment being tested.
• article_number: 5982363
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5982363
• html_url: https://ieeexplore.ieee.org/document/5982363/
• abstract_url: https://ieeexplore.ieee.org/document/5982363/
• publication_title: IEEE Transactions on Circuits and Systems for Video Technology
• conference_location:
• conference_dates:
• publication_number: 76
• is_number: 6032143
• publication_year: 2011
• publication_date: Oct. 2011
• start_page: 1415
• end_page: 1423
• citing_paper_count: 6
• citing_patent_count: 0
• download_count: 447
• insert_date: 20110811
• index_terms:
  • ieee_terms:
    • Hardware
    • Machine vision
    • Cameras
    • Lighting
    • Robot sensing systems
    • CMOS integrated circuits
    • Photodiodes
  • author_terms:
    • Real-time image processing
    • resource-limited systems
    • selective change-driven (SCD) vision
  • dynamic_index_terms:
    • Resource-limited Systems
    • Visual System
    • Illumination Changes
    • Tracking Experiments
    • Bandwidth Requirements
    • Processing Hardware
    • Image Processing
    • Grayscale
    • Greyscale
    • Gray Level
    • Center Of Mass
    • Center Of Gravity
    • Power Consumption
    • Image Pixels
    • Photodiode
    • Object Detection
    • Time Resolution
    • Camera System
    • Object Position
    • Pixel Coordinates
    • Vision Sensors
    • Illumination Levels
    • Temporal Images
    • Dynamic Vision Sensor
    • Event Camera
    • Standard Camera
    • Temporal Contrast
    • Scene Changes
    • Universal Serial Bus
    • Concept Of Image
    • Processing System
    • Static Images
    • Integration Time
    • High-speed Camera
• authors:
  • Author Name: Fernando Pardo
    Affiliation: Department of Computer Engineering, Universitat de València, Valencia, Spain
    Author URL: https://ieeexplore.ieee.org/author/37289150900
    ID: 37289150900
    Order: 1
    Author Affiliations:
    • Department of Computer Engineering, Universitat de València, Valencia, Spain
  • Author Name: Pedro Zuccarello
    Affiliation: Department of Computer Engineering, Universitat de València, Valencia, Spain
    Author URL: https://ieeexplore.ieee.org/author/37393052500
    ID: 37393052500
    Order: 2
    Author Affiliations:
    • Department of Computer Engineering, Universitat de València, Valencia, Spain
  • Author Name: Jose A. Boluda
    Affiliation: Department of Computer Engineering, Universitat de València, Valencia, Spain
    Author URL: https://ieeexplore.ieee.org/author/37297994500
    ID: 37297994500
    Order: 3
    Author Affiliations:
    • Department of Computer Engineering, Universitat de València, Valencia, Spain
  • Author Name: Francisco Vegara
    Affiliation: Department of Computer Engineering, Universitat de València, Valencia, Spain
    Author URL: https://ieeexplore.ieee.org/author/37945357600
    ID: 37945357600
    Order: 4
    Author Affiliations:
    • Department of Computer Engineering, Universitat de València, Valencia, Spain

Image Sensor

• sensor_type: CMOS
• resolution: 32x32
• dynamic_range: unknown
• pixel_size: unknown
• dark_current: unknown

Optical Data

• focal_length: unknown
• aperture: unknown
• field_of_view: unknown
• distortion: unknown

Performance Metrics

• frame_rate: 100000 pixels per second
• signal_to_noise_ratio: unknown
• sensitivity: unknown
• shutter_speed: 10 μs per pixel
• power_consumption: 200 mW or less for low pixel count, potentially lower with fewer pixels processed.
• noise: unknown

Applications & Benefits

• cell_imaging: The sensor could be used in various applications requiring high sensitivity and low power consumption.
• benefits: Reduces processing requirements and latency while providing real-time tracking of moving objects.

Supporting Organizations

• supported_by: Spanish Government, under Projects TEC2006-08130 and TEC2009-12980.

Manuscript Details

• publication_date: Oct. 2011

Relevancy Score

• score: 8
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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