Design Of A Low Power Multiple Object Tracking Vision Sensor For Use In Robot Localization And Surveillance Tasks

• doi: 10.1109/ICSPIS.2016.7869881
• title: Design of a low power multiple object tracking vision sensor for use in robot localization and surveillance tasks
• publisher: IEEE
• isbn: 978-1-5090-5821-1
• issn:
• rank: 2181
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper presents a smart CMOS image sensor with capability of detecting motion and positioning of moving objects such as robots on the chip. The proposed method is based on in-pixel frame difference extraction and event generation upon threshold level detection. Due to the localization unit of the designed sensor, it is able to detect multiple moving objects, obtain each object's size and position, and ultimately localize them. By simulation of the sensors processing algorithms and behavior in MATLAB software, activity rate of the sensors data lines has been studied. According to the simulations and comparisons with conventional image sensors, reduction of sensors activity rate and consequently power consumption has been observed in the proposed method.
• article_number: 7869881
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7869881
• html_url: https://ieeexplore.ieee.org/document/7869881/
• abstract_url: https://ieeexplore.ieee.org/document/7869881/
• publication_title: 2016 2nd International Conference of Signal Processing and Intelligent Systems (ICSPIS)
• conference_location: Tehran, Iran
• conference_dates: 14-15 Dec. 2016
• publication_number: 7863700
• is_number: 7869843
• publication_year: 2016
• publication_date: 14-15 Dec. 2016
• start_page: 1
• end_page: 5
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 265
• insert_date: 20170306
• index_terms:
  • ieee_terms:
    • Robot sensing systems
    • Image sensors
    • Image reconstruction
    • Power demand
    • Surveillance
    • Marine vehicles
  • author_terms:
    • motion detection
    • moving object localization
    • On-chip image processing
    • Smart CMOS image sensor
  • dynamic_index_terms:
    • Robot Localization
    • Multiple Object Tracking
    • Surveillance Task
    • Power Consumption
    • Processing Algorithms
    • Image Sensor
    • Camera Sensor
    • Object Position
    • Image Reconstruction
    • Iterative Reconstruction
    • Tomographic Reconstruction
    • Sensor Networks
    • Consecutive Frames
    • Video Sequences
    • Image Processing Algorithms
    • Search Range
    • Inductive Load
    • Load Capacitance
    • Additional Hardware
    • Dynamic Power
    • Cargo Ships
    • Power Usage
    • Shift Register
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5090-5821-1, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5090-5820-4, isbnType: New-2005
• authors:
  • Author Name: Seyede Maryam Noorbakhsh
    Affiliation: Department of Electrical Engineering, Isfahan University, Isfahan, Iran
    Author URL: https://ieeexplore.ieee.org/author/37087648054
    ID: 37087648054
    Order: 1
    Author Affiliations:
    • Department of Electrical Engineering, Isfahan University, Isfahan, Iran
  • Author Name: Mehdi Habibi
    Affiliation: Department of Electrical Engineering, Isfahan University, Isfahan, Iran
    Author URL: https://ieeexplore.ieee.org/author/399758964235731
    ID: 399758964235731
    Order: 2
    Author Affiliations:
    • Department of Electrical Engineering, Isfahan University, Isfahan, Iran

Image Sensor

• sensor_type: CMOS
• resolution: 100x100
• 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

• power_consumption: 36µW under 1.8V power supply

Applications & Benefits

• cell_imaging: Used for positioning applications, detecting multiple moving objects, suitable for surveillance tasks.
• benefits: Low power consumption and suitable for networked use with environmental energy resources.

Supporting Organizations

• supported_by: Not specified

Manuscript Details

• publication_date: 14-15 Dec. 2016

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • noise
  • supported_by

Processed JSON Filename

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