Front Vehicle Tracking Using Scene Analysis

• doi: 10.1109/ICMA.2005.1626745
• title: Front vehicle tracking using scene analysis
• publisher: IEEE
• isbn: 0-7803-9044-X
• issn: 2152-744X
• partnum: 05EX1044
• rank: 2528
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper presents a design and implementation of a real-time visual tracking system for vehicle safety applications. A novel feature-based vehicle tracking algorithm is proposed. This algorithm can automatically detect and track multiple moving objects, including cars and motorcycles, ahead of the tracking vehicle. Combined with the concept of focus of expansion (FOE) and scene analysis, the developed system can segment features of moving objects from moving background and provide a collision warning in real time. The proposed algorithm is realized using a CMOS image sensor and Nios embedded processor architecture. The constructed stand-alone visual tracking system has been validated in actual road tests. Experimental results show that the proposed system successfully tracks front vehicles and provides information of collision warning in urban artery with speed around 60 km/hr both at night and day times.
• article_number: 1626745
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1626745
• html_url: https://ieeexplore.ieee.org/document/1626745/
• abstract_url: https://ieeexplore.ieee.org/document/1626745/
• publication_title: IEEE International Conference Mechatronics and Automation, 2005
• conference_location: Niagara Falls, ON, Canada
• conference_dates: 29 July-1 Aug. 2005
• publication_number: 10831
• is_number: 34148
• publication_year: 2005
• publication_date: 29 July-1 Aug. 2005
• start_page: 1323
• end_page: 1328 Vol. 3
• citing_paper_count: 5
• citing_patent_count: 3
• download_count: 257
• insert_date: 20060508
• index_terms:
  • ieee_terms:
    • Image analysis
    • Real time systems
    • Road accidents
    • Vehicle safety
    • Object detection
    • Vehicle detection
    • Motorcycles
    • Focusing
    • Image segmentation
    • CMOS image sensors
  • dynamic_index_terms:
    • Vehicle Track
    • Scene Analysis
    • Front Vehicle
    • Visual System
    • Tracking System
    • Tracking Devices
    • Tracking Algorithm
    • Real-time Tracking
    • Control Problem
    • Image Plane
    • Flow Analysis
    • Optical Flow
    • Urban Road
    • Urban Street
    • Motion Estimation
    • Collision Detection
    • Impact Of Monitoring
    • Collision Checking
    • Test Vehicle
    • Tracking Approach
    • Vehicle Characteristics
    • Vehicle Features
    • Motion Field
    • Hsinchu City
• isbn_formats:
  • format: Print ISBN, value: 0-7803-9044-X, isbnType: Historical
• authors:
  • Author Name: Kai-Tai Song
    Affiliation: Department of Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37087142238
    ID: 37087142238
    Order: 1
    Author Affiliations:
    • Department of Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan
  • Author Name: Chih-Chieh Yang
    Affiliation: Department of Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37087846039
    ID: 37087846039
    Order: 2
    Author Affiliations:
    • Department of Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan

Image Sensor

• sensor_type: CMOS
• resolution: 320x240
• 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: 30 fps

Applications & Benefits

• cell_imaging: not specified
• benefits: The system provides real-time visual tracking and collision warning functionality for automotive safety.

Supporting Organizations

• supported_by: National Science Council, Taiwan, R.O.C.

Manuscript Details

• publication_date: 29 July-1 Aug. 2005

Relevancy Score

• score: 9
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_70918d15-cd0a-41c4-8683-95d43b2977e5-front_vehicle_tracking_using_scene_analysis.json