Background Subtraction Using Edge Cues And Color Difference For Stabilized Cmos Images

• doi: 10.1109/ICCE.2013.6486841
• title: Background subtraction using edge cues and color difference for stabilized CMOS images
• publisher: IEEE
• isbn: 978-1-4673-1362-9
• issn: 2158-4001
• partnum: 13CH38975
• rank: 1703
• access_type: LOCKED
• content_type: Conferences
• abstract: Video stabilization followed by background subtraction using CMOS sensor shows erroneous foregrounds. In this paper, we present a background subtraction method using edge cues and color difference to deal with preprocessed stabilized images. We use a non-parametric background model with edge cues based on the observation that interpolation errors are larger in textured regions than in homogeneous regions. By additional CIELab difference model, we show that misclassifications are dramatically decreased than conventional background subtraction methods.
• article_number: 6486841
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6486841
• html_url: https://ieeexplore.ieee.org/document/6486841/
• abstract_url: https://ieeexplore.ieee.org/document/6486841/
• publication_title: 2013 IEEE International Conference on Consumer Electronics (ICCE)
• conference_location: Las Vegas, NV, USA
• conference_dates: 11-14 Jan. 2013
• publication_number: 6475440
• is_number: 6486765
• publication_year: 2013
• publication_date: 11-14 Jan. 2013
• start_page: 165
• end_page: 166
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 177
• insert_date: 20130328
• index_terms:
  • ieee_terms:
    • Image edge detection
    • Image color analysis
    • Colored noise
    • Semiconductor device modeling
    • CMOS integrated circuits
    • Streaming media
  • dynamic_index_terms:
    • Background Subtraction
    • Color Difference
    • Edge Coloring
    • Edge Cues
    • Homogeneous Regions
    • Regional Homogeneity
    • Background Model
    • Interpolation Error
    • Texture Regions
    • Background Subtraction Method
    • Density Estimation
    • False Alarm
    • Color Space
    • Color Components
    • Non-parametric Approach
    • Color Channels
    • Pre-defined Threshold
    • Short-term Model
    • Perspective Distortion
• isbn_formats:
  • format: CD, value: 978-1-4673-1362-9, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4673-1361-2, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4673-1363-6, isbnType: New-2005
• authors:
  • Author Name: Juhan Bae
    Affiliation: Multimedia IP Center, Korea Electronics and Technology Institute, South Korea
    Author URL: https://ieeexplore.ieee.org/author/38580427300
    ID: 38580427300
    Order: 1
    Author Affiliations:
    • Multimedia IP Center, Korea Electronics and Technology Institute, South Korea
  • Author Name: Youngbae Hwang
    Affiliation: Multimedia IP Center, Korea Electronics and Technology Institute, South Korea
    Author URL: https://ieeexplore.ieee.org/author/38237513900
    ID: 38237513900
    Order: 2
    Author Affiliations:
    • Multimedia IP Center, Korea Electronics and Technology Institute, South Korea
  • Author Name: Byeongho Choi
    Affiliation: Multimedia IP Center, Korea Electronics and Technology Institute, South Korea
    Author URL: https://ieeexplore.ieee.org/author/37404837500
    ID: 37404837500
    Order: 3
    Author Affiliations:
    • Multimedia IP Center, Korea Electronics and Technology Institute, South Korea

Image Sensor

• sensor_type: CMOS
• resolution: 640x480
• 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

Applications & Benefits

• cell_imaging: Not specified
• benefits: Used in practical surveillance systems, video stabilization reduces false alarms.

Supporting Organizations

• supported_by: Korea Electronics and Technology Institute

Manuscript Details

• publication_date: 11-14 Jan. 2013

Relevancy Score

• score: 9
• missing_fields:
  • dynamic_range
  • power_consumption
  • noise
  • quantum_efficiency
  • fill_factor
  • temporal_noise
  • fixed_pattern_noise
  • analog_to_digital_conversion
  • microlenses
  • colour_filters
  • global_shutters
  • rolling_shutters
  • backside_illumination

Processed JSON Filename

request_29537aef-2a67-43a9-9cf5-5f61c6e18fd6-background_subtraction_using_edge_cues_and_color_difference_for_stabilized_cmos_images.json