Surveillance And Activity Recognition With Depth Information

• doi: 10.1109/ICME.2007.4284847
• title: Surveillance and Activity Recognition with Depth Information
• publisher: IEEE
• isbn: 1-4244-1017-7
• issn: 1945-788X
• rank: 3686
• access_type: LOCKED
• content_type: Conferences
• abstract: In the present treatise an image sensor acquiring additional depth information is applied to extend regular computer vision algorithms. The so called Photonic Mixer Device (PMD) basing on the time-of-flight principle can measure the distance between a smart pixel on the image sensor and the object being recorded. Since the resolution of such a sensor is rather low, they are not intended to replace existing image acquisition technologies, i.e. CMOS or CCD cameras, but can rather be employed to assist and speed up several tasks, especially image segmentation or object detection tasks.
• article_number: 4284847
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4284847
• html_url: https://ieeexplore.ieee.org/document/4284847/
• abstract_url: https://ieeexplore.ieee.org/document/4284847/
• publication_title: 2007 IEEE International Conference on Multimedia and Expo
• conference_location: Beijing, China
• conference_dates: 2-5 July 2007
• publication_number: 4284552
• is_number: 4284553
• publication_year: 2007
• publication_date: 2-5 July 2007
• start_page: 1103
• end_page: 1106
• citing_paper_count: 7
• citing_patent_count: 0
• download_count: 133
• insert_date: 20070808
• index_terms:
  • ieee_terms:
    • Surveillance
    • Image sensors
    • CMOS image sensors
    • Computer vision
    • Optoelectronic and photonic sensors
    • Smart pixels
    • Image resolution
    • Intelligent sensors
    • CMOS technology
    • Charge coupled devices
  • author_terms:
    • Computer Vision
    • 3D Surveillance
    • Photonic Mixer Device
    • Segmentation
  • dynamic_index_terms:
    • Depth Information
    • Image Segmentation
    • Image Sensor
    • Camera Sensor
    • Object Detection Task
    • Image Segmentation Tasks
    • High-resolution Images
    • Light Conditions
    • Skin Color
    • Complexion
    • Skin Tone
    • Face Recognition
    • Computational Effort
    • Depth Map
    • Function Of Depth
    • Face Detection
    • Gesture Recognition
• isbn_formats:
  • format: CD, value: 1-4244-1017-7, isbnType: Historical
  • format: Print ISBN, value: 1-4244-1016-9, isbnType: Historical
• authors:
  • Author Name: Frank Wallhoff
    Affiliation: Human-Machine Communication, Technische Universität München, Munich, Germany
    Author URL: https://ieeexplore.ieee.org/author/37266136600
    ID: 37266136600
    Order: 1
    Author Affiliations:
    • Human-Machine Communication, Technische Universität München, Munich, Germany
  • Author Name: Martin RuB
    Affiliation: Human-Machine Communication, Technische Universität München, Munich
    Author URL: https://ieeexplore.ieee.org/author/37087852334
    ID: 37087852334
    Order: 2
    Author Affiliations:
    • Human-Machine Communication, Technische Universität München, Munich
  • Author Name: Gerhard Rigoll
    Affiliation: Human-Machine Communication, Technische Universität München, Munich, Germany
    Author URL: https://ieeexplore.ieee.org/author/37270642400
    ID: 37270642400
    Order: 3
    Author Affiliations:
    • Human-Machine Communication, Technische Universität München, Munich, Germany
  • Author Name: Johann Gobel
    Affiliation: Depearment LG-ME, EADS Corporate Research Center Germany, München, Germany
    Author URL: https://ieeexplore.ieee.org/author/37929799700
    ID: 37929799700
    Order: 4
    Author Affiliations:
    • Depearment LG-ME, EADS Corporate Research Center Germany, München, Germany
  • Author Name: Hermann Diehl
    Affiliation: Depearment LG-ME, EADS Corporate Research Center Germany, München, Germany
    Author URL: https://ieeexplore.ieee.org/author/37567119000
    ID: 37567119000
    Order: 5
    Author Affiliations:
    • Depearment LG-ME, EADS Corporate Research Center Germany, München, Germany

Image Sensor

• sensor_type: CCD
• resolution: 752x582 (PAL)
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: 16mm
• aperture: Not specified
• field_of_view: 40°
• distortion: Not specified

Performance Metrics

• frame_rate: 25 fps

Applications & Benefits

• cell_imaging: Not specified
• benefits: Assists and speeds up image segmentation and object detection tasks with depth information.

Supporting Organizations

• supported_by: PMD Technologies

Manuscript Details

• publication_date: 2-5 July 2007

Relevancy Score

• score: 7
• missing_fields:
  • dynamic_range
  • fill factor
  • quantum efficiency
  • dark current
  • signal-to-noise ratio
  • power consumption
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

request_220ffbe1-5ea8-47d1-b8ab-0db8ac1437e9-surveillance_and_activity_recognition_with_depth_information.json