RECOGNITION AND TRACKING OF MULTIPLE VEHICLES FROM COMPLEX IMAGE SEQUENCES

In this paper, synergies between the recognition and tracking process for autonomous driving are studied. Object recognition is periodically performed to focus attention on specific parts of the visual signal and to assign them symbolic meanings. Tracking is used to maintain correspondences between objects identified at successive recognition instants, as well as to provide further features (eg image space temporal trajectories) on which to base object-pose estimation. Results obtained by using road image sequences are reported, which demonstrate the validity of the approach in terms of robustness, accuracy, and time responses. (A) For the covering abstract see IRRD 887751.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0471967262
• Corporate Authors:

  Wiley (John) & Sons, Limited

  Baffins Lane
  Chichester, Sussex  England 
• Authors:
  • Regazzoni, C S
• Conference:
  • ROAD VEHICLE AUTOMATION II. TOWARDS SYSTEMS INTEGRATION. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ROAD VEHICLE AUTOMATION, VEHICLE SYSTEMS RESEARCH CENTRE, FACULTY OF TECHNOLOGY, BOLTON INSTITUTE, BOLTON, UK, 11-13 SEPTEMBER 1995
• Publication Date: 1997

Language

• English

Media Info

• Features: References;
• Pagination: p. 297-306

Subject/Index Terms

• TRT Terms: Conferences; Image processing; Surveillance; Traffic flow
• ITRD Terms: 8525: Conference; 8633: Image processing; 9101: Surveillance; 671: Traffic flow
• Subject Areas: Data and Information Technology; Operations and Traffic Management;

Filing Info

• Accession Number: 00737253
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• ISBN: 0-471-96726-2
• Files: ITRD
• Created Date: Jun 27 1997 12:00AM