A 1000 Framess Vision Chip Using Scalable Pixelneighborhoodlevel Parallel
Processing
- doi: 10.1109/JSSC.2016.2613094
-
title: A 1000 frames/s Vision Chip Using Scalable
Pixel-Neighborhood-Level Parallel Processing
- publisher: IEEE
- isbn:
- issn: 1558-173X
- rank: 260
- access_type: LOCKED
- content_type: Journals
-
abstract: This paper presents a novel vision chip
architecture based on pixel-neighborhood-level parallel processing. In
the architecture, an 8-b RISC processing core is embedded in an 8×8
array of digital pixel sensors on the same focal plane. These
neighborhood processors (NPs) are tiled in a 2-D array to form the final
imager resolution. Program execution is carried out in parallel across
the array of pixel-neighborhood processing cores, allowing for direct
scalability in terms of resolution, without reduction in processing
speed or frame rate. To accomplish this, a compact, low-complexity NP
architecture along with a general purpose, 8-b instruction set has been
designed and implemented. A prototype vision chip containing an 8×10
array of NPs with a 64×80 resolution has been designed and fabricated in
a 0.13-μm 1P8M CMOS fabrication process. The system is reprogrammable
and can perform a wide range of image and video processing tasks.
Several example algorithms are implemented and tested on the single-chip
vision system to demonstrate the functionality of
pixel-neighborhood-level parallelism, including 1000-frames/s object
tracking.
- article_number: 7589062
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7589062
-
html_url:
https://ieeexplore.ieee.org/document/7589062/
-
abstract_url:
https://ieeexplore.ieee.org/document/7589062/
-
publication_title: IEEE Journal of Solid-State Circuits
- conference_location:
- conference_dates:
- publication_number: 4
- is_number: 7845730
- publication_year: 2017
- publication_date: Feb. 2017
- start_page: 556
- end_page: 568
- citing_paper_count: 28
- citing_patent_count: 0
- download_count: 1291
- insert_date: 20161012
-
index_terms:
-
ieee_terms:
- Program processors
- Image resolution
- Parallel processing
- Arrays
- Delays
- Memory management
-
author_terms:
- CMOS image sensor
- image processing
- neighborhood processor (NP)
- object tracking
- programmable
- single instruction multiple data
- vision chip
-
dynamic_index_terms:
- Scalable
- Vision Chips
- Image Processing
- Processing Speed
- Psychomotor Speed
- Educational Settings
- Set Of Instructions
- Frame Rate
- Focal Plane
- Back Focal Plane
- Processing Tasks
- Program Execution
- Image Processing Tasks
- Digital Sensor
- Integration Time
- Level Of Processing
- Digital Signal
- Static Images
- Edge Detection
- Median Filter
- Global Signal
- Data Frame
- Fill Factor
- Local Memory
- Outdoor Scenes
- Reset Voltage
- Conditional Branches
- Nearby Pixels
- Data Bus
- Clock Cycles
- Additional Row
- Pixel Data
- Data For Each Pixel
- Neighborhood Size
-
authors:
-
Author Name: Joseph A. Schmitz
Affiliation: Department of Electrical and Computer
Engineering, University of Nebraska–Lincoln, Lincoln, NE, USA
Author URL:
https://ieeexplore.ieee.org/author/37085406015
ID: 37085406015
Order: 1
Author Affiliations:
-
Department of Electrical and Computer Engineering, University of
Nebraska–Lincoln, Lincoln, NE, USA
-
Author Name: Mahir K. Gharzai
Affiliation: Department of Electrical and Computer
Engineering, University of Nebraska–Lincoln, Lincoln, NE, USA
Author URL:
https://ieeexplore.ieee.org/author/37085423892
ID: 37085423892
Order: 2
Author Affiliations:
-
Department of Electrical and Computer Engineering, University of
Nebraska–Lincoln, Lincoln, NE, USA
-
Author Name: Sina Balkır
Affiliation: Department of Electrical and Computer
Engineering, University of Nebraska–Lincoln, Lincoln, NE, USA
Author URL:
https://ieeexplore.ieee.org/author/37269491000
ID: 37269491000
Order: 3
Author Affiliations:
-
Department of Electrical and Computer Engineering, University of
Nebraska–Lincoln, Lincoln, NE, USA
-
Author Name: Michael W. Hoffman
Affiliation: Department of Electrical and Computer
Engineering, University of Nebraska–Lincoln, Lincoln, NE, USA
Author URL:
https://ieeexplore.ieee.org/author/37269479800
ID: 37269479800
Order: 4
Author Affiliations:
-
Department of Electrical and Computer Engineering, University of
Nebraska–Lincoln, Lincoln, NE, USA
-
Author Name: Daniel J. White
Affiliation: Gellersen Center, Valparaiso
University, Valparaiso, IN, USA
Author URL:
https://ieeexplore.ieee.org/author/38468485200
ID: 38468485200
Order: 5
Author Affiliations:
-
Gellersen Center, Valparaiso University, Valparaiso, IN, USA
-
Author Name: Nathan Schemm
Affiliation: Texas Instruments Inc, Dallas, TX,
USA
Author URL:
https://ieeexplore.ieee.org/author/37398759700
ID: 37398759700
Order: 6
Author Affiliations:
- Texas Instruments Inc, Dallas, TX, USA
Image Sensor
- sensor_type: CMOS
- resolution: 64×80 pixels
- 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: 1000 fps
- noise: 1.1% FPN (fixed-pattern noise)
Applications & Benefits
-
cell_imaging: Supporting various imaging applications
including outdoor tracking in natural lighting
-
benefits: Reprogrammable vision chip with capabilities
for real-time target tracking at high speeds.
Supporting Organizations
-
supported_by: MOSIS High Education Program, NASA
Nebraska Space Grant Consortium
Manuscript Details
- publication_date: Feb. 2017
Relevancy Score
- score: 9
-
missing_fields:
- dynamic_range
- dark_current
- quantum_efficiency
- pixel_size
- focal_length
- aperture
- field_of_view
- distortion
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
Processed JSON Filename
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